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Advanced Intelligent Predictive Models for Urban Transportation
The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments.Features: Provides a smart traffic congestion avoidance system with an integrated fuel consumption model. Predicts traffic in short-term and regular. This is illustrated with a case study. Efficient Traffic light controller and deviation system in accordance with the traffic scenario. IoT based Intelligent Transport Systems in a Global perspective. Intelligent Traffic Light Control System and Ambulance Control System. Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. Bunch of solutions and ideas for smart traffic development in smart cities. This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system. This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications. This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT.This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.
R 9,315.79
Advanced Intelligent Predictive Models for Urban Transportation
The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments.Features: Provides a smart traffic congestion avoidance system with an integrated fuel consumption model. Predicts traffic in short-term and regular. This is illustrated with a case study. Efficient Traffic light controller and deviation system in accordance with the traffic scenario. IoT based Intelligent Transport Systems in a Global perspective. Intelligent Traffic Light Control System and Ambulance Control System. Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. Bunch of solutions and ideas for smart traffic development in smart cities. This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system. This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications. This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT.This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.
R 3,252.02
Artificial Intelligence for Future Intelligent Transportation
Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements.The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts.Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.
R 6,226.00
Deep Learning and Big Data for Intelligent Transportation
This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.
R 5,503.84
Deep Learning and Big Data for Intelligent Transportation
This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.
R 5,818.27
Autonomous Urban Mobility
This book delves into the complex landscape of autonomous urban mobility, analysing the factors that influence public adoption, stakeholder perspectives, and societal perceptions in this rapidly evolving field. Aimed at scholars, policymakers, urban planners, and industry professionals, this book offers a thorough exploration of the key elements driving the integration of autonomous vehicles in urban settings. Drawing on empirical evidence from diverse case studies, it first investigates public awareness, emphasising the roles of knowledge, exposure, and media in shaping perceptions of autonomous vehicles, and underscores the critical need for targeted awareness campaigns. Subsequent chapters examine pre-trial attitudes towards autonomous shuttles, demonstrating how initial experiences significantly impact adoption willingness, and advocate for pilot programs to cultivate informed, positive perceptions.This book also explores the potential of smart mobility solutions to bridge first/last mile gaps, presenting data on how autonomous vehicles can improve urban transport efficiency and accessibility. By analysing socio-demographic predictors, it highlights varying perceptions of the benefits and challenges of autonomous demand-responsive transit, underscoring the importance of tailored strategies for diverse urban populations. Stakeholder perspectives, gathered through interviews and case studies, offer practical recommendations for overcoming technological, regulatory, and societal hurdles. Comparative insights from international case studies broaden the understanding of local factors influencing autonomous vehicle acceptance, while advanced modelling techniques identify the key drivers of driverless car adoption. Finally, this book explores the transformative potential of autonomous vehicles in developing countries, offering visionary insights into their capacity to reshape urban landscapes.With its data-rich content and forward-thinking analysis, this book is an indispensable guide to the future of urban transportation and the critical role of autonomous mobility.This volume, alongside its companion—Autonomous Urban Mobility: Understanding Innovation Principles, Priorities, Policies—offers a holistic view of autonomous urban mobility. Together, these books provide a comprehensive exploration of the rapidly evolving landscape of autonomous urban mobility, the principles guiding its innovation, the wide-ranging impacts of its adoption on society, policy, and urban environments, and the transformative potential of autonomous vehicles in the future of urban transportation.
R 4,461.18
Intelligent Control for Modern Transportation Systems
The book comprehensively discusses concepts of artificial intelligence in green transportation systems. It further covers intelligent techniques for precise modeling of complex transportation infrastructure, forecasting and predicting traffic congestion, and intelligent control techniques for maximizing performance and safety. It further provides MATLAB® programs for artificial intelligence techniques. It discusses artificial intelligence-based approaches and technologies in controlling and operating solar photovoltaic systems to generate power for electric vehicles. Highlights how different technological advancements have revolutionized the transportation system. Presents core concepts and principles of soft computing techniques in the control and management of modern transportation systems. Discusses important topics such as speed control, fuel control challenges, transport infrastructure modeling, and safety analysis. Showcases MATLAB® programs for artificial intelligence techniques. Discusses roles, implementation, and approaches of different intelligent techniques in the field of transportation systems. It will serve as an ideal text for professionals, graduate students, and academicians in the fields of electrical engineering, electronics and communication engineering, civil engineering, and computer engineering.
R 6,656.66
Urban Freight Analytics
Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS).The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents.This bookPresents procedures for evaluating city logistics technologies and policy measuresProvides an overview of advanced modelling approaches, including agent-based model and machine learningHighlights the essential features of optimisation and simulation models applied to city logisticsDiscusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systemsThe book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.
R 2,980.48
Advances in Dynamic Network Modeling in Complex Transportation Systems
This edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks. Dynamic Network Modeling is generally understood to be the mathematical modeling of time-varying vehicular flows on networks in a fashion that is consistent with established traffic flow theory and travel demand theory. Dynamic Network Modeling as a field has grown over the last thirty years, with contributions from various scholars all over the field. The basic problem which many scholars in this area have focused on is related to the analysis and prediction of traffic flows satisfying notions of equilibrium when flows are changing over time. In addition, recent research has also focused on integrating dynamic equilibrium with traffic control and other mechanism designs such as congestion pricing and network design. Recently, advances in sensor deployment, availability of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states and have contributed to new research problems which advance previous models in dynamic modeling. A recent National Science Foundation workshop on “Dynamic Route Guidance and Traffic Control” was organized in June 2010 at Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri , Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop brought together experts in this area from universities, industry and federal/state agencies to present recent findings in this area. Various topics were presented at the workshop including dynamic traffic assignment, traffic flow modeling, network control, complex systems, mobile sensor deployment, intelligent traffic systems and data collection issues. This book is motivated by the research presented at this workshop and the discussions that followed.
R 7,261.28
Intelligent Control for Modern Transportation Systems
The book comprehensively discusses concepts of artificial intelligence in green transportation systems. It further covers intelligent techniques for precise modeling of complex transportation infrastructure, forecasting and predicting traffic congestion, and intelligent control techniques for maximizing performance and safety. It further provides MATLAB® programs for artificial intelligence techniques. It discusses artificial intelligence-based approaches and technologies in controlling and operating solar photovoltaic systems to generate power for electric vehicles. Highlights how different technological advancements have revolutionized the transportation system. Presents core concepts and principles of soft computing techniques in the control and management of modern transportation systems. Discusses important topics such as speed control, fuel control challenges, transport infrastructure modeling, and safety analysis. Showcases MATLAB® programs for artificial intelligence techniques. Discusses roles, implementation, and approaches of different intelligent techniques in the field of transportation systems. It will serve as an ideal text for professionals, graduate students, and academicians in the fields of electrical engineering, electronics and communication engineering, civil engineering, and computer engineering.
R 2,982.97
Intelligent Transportation Systems
This book presents cutting-edge work onthe most challenging research issues concerning intelligent transportationsystems (ITS), introducing selected, highly relevant advanced research onscheduling and real-time communication for vehicular networks, as well as faulttolerance, test beds and simulations for ITS. The authors define newarchitectures that support cooperative sensing in ITS and offer guidance forthe development of a reference end-to-end implementation. The presented resultsallow advanced traffic and travel management strategies to be formulated on thebasis of reliable and real-time input data. The effectiveness of these newstrategies, together with the proposed systems, is assessed in field trials andvia simulations.The chapters in this book detail newresearch findings, algorithms, protocols, and the development of animplementation platform for ITS that merges and integrates heterogeneous datasources into a common system. In addition, they provide a set of advanced toolsfor the control, monitoring, simulation, and prediction of traffic that resultin safer, more sustainable, and less congested roads. Work undertaken within the framework of theFP7 project ICSI (Intelligent Cooperative Sensing for Improved trafficefficiency) is also included in the research activities addressed.
R 4,030.00
Intelligent Urban Mobility
Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation explores the role of technology in enabling greener, more accessible transportation in cities worldwide. This book provides insights into leveraging decision support systems to drive positive change by focusing on applied soft computing techniques, artificial intelligence, and algorithms for fuzzy systems. Researchers and professionals will find actionable information on mitigating congestion and emissions through sustainable mobility initiatives, which bridges the gap between theory and real-world practice.The book also offers technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options. The book highlights innovative models and frameworks for analyzing mobility options and planning sustainable transport systems. It is an essential resource for researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences who aim to redesign city transportation to reduce environmental impact and carbon emissions.
R 5,297.00
Intelligent Solutions for Cities and Mobility of the Future
This book contains an abundance of numerical analyses based on significant data sets, illustrating the close affiliation between intelligent solutions and future mobility. Which of the prediction models should be applied to improve road safety? How to solve selected issues with assessment of urban roundabouts? What is the future of shared mobility services? How to use spatial data in planning processes related to electromobility implementation? What is the right approach to the problem of road and rail traffic processes? This book provides you with answers to these and many other questions. With regard to the research results discussed and the selected solutions applied, the book primarily addresses the needs of three target groups:• Scientists and researchers (ITS field)• Local authorities (responsible for the transport systems at the urban and regional level)• Representatives of business (traffic strategy management) and industry (manufacturers of ITS components).The book gathers selected papers presented at the 17th “Transport Systems. Theory and Practice” Scientific and Technical Conference organised by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering of the Silesian University of Technology. The conference was held on 20–21 September 2021 in Katowice (Poland). More details are available at www.TSTP.polsl.pl
R 8,246.69
Autonomous Urban Mobility
This book delves into the complex landscape of autonomous urban mobility, analysing the factors that influence public adoption, stakeholder perspectives, and societal perceptions in this rapidly evolving field. Aimed at scholars, policymakers, urban planners, and industry professionals, this book offers a thorough exploration of the key elements driving the integration of autonomous vehicles in urban settings. Drawing on empirical evidence from diverse case studies, it first investigates public awareness, emphasising the roles of knowledge, exposure, and media in shaping perceptions of autonomous vehicles, and underscores the critical need for targeted awareness campaigns. Subsequent chapters examine pre-trial attitudes towards autonomous shuttles, demonstrating how initial experiences significantly impact adoption willingness, and advocate for pilot programs to cultivate informed, positive perceptions.This book also explores the potential of smart mobility solutions to bridge first/last mile gaps, presenting data on how autonomous vehicles can improve urban transport efficiency and accessibility. By analysing socio-demographic predictors, it highlights varying perceptions of the benefits and challenges of autonomous demand-responsive transit, underscoring the importance of tailored strategies for diverse urban populations. Stakeholder perspectives, gathered through interviews and case studies, offer practical recommendations for overcoming technological, regulatory, and societal hurdles. Comparative insights from international case studies broaden the understanding of local factors influencing autonomous vehicle acceptance, while advanced modelling techniques identify the key drivers of driverless car adoption. Finally, this book explores the transformative potential of autonomous vehicles in developing countries, offering visionary insights into their capacity to reshape urban landscapes.With its data-rich content and forward-thinking analysis, this book is an indispensable guide to the future of urban transportation and the critical role of autonomous mobility.This volume, alongside its companion—Autonomous Urban Mobility: Understanding Innovation Principles, Priorities, Policies—offers a holistic view of autonomous urban mobility. Together, these books provide a comprehensive exploration of the rapidly evolving landscape of autonomous urban mobility, the principles guiding its innovation, the wide-ranging impacts of its adoption on society, policy, and urban environments, and the transformative potential of autonomous vehicles in the future of urban transportation.
R 3,000.15
Modeling and Simulation of Intelligent Transportation Systems
As transport networks become more congested, there is a growing need to adopt policies that manage demand and make full use of existing assets. Advances in information technology are now such that intelligent transportation systems (ITS) offer real potential to meet this challenge by monitoring current conditions, predicting what might happen in the future and providing the means to manage transport proactively and on an area-wide basis. Modeling and Simulation of Intelligent Transportation Systems provides engineers, professionals, and researchers an intuitive appreciation for ITS theory, related sensor technologies, and other practical applications, including traffic management, safety, design optimization, and sustainability.Provides the theory and practical applications of Intelligent Transport Theory which will be helpful as highway construction recedes as a sustainable long-term solution.Includes several case studies that illustrate the concepts presented throughout.
R 6,660.63
Advances in Dynamic Network Modeling in Complex Transportation Systems
This edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks. Dynamic Network Modeling is generally understood to be the mathematical modeling of time-varying vehicular flows on networks in a fashion that is consistent with established traffic flow theory and travel demand theory. Dynamic Network Modeling as a field has grown over the last thirty years, with contributions from various scholars all over the field. The basic problem which many scholars in this area have focused on is related to the analysis and prediction of traffic flows satisfying notions of equilibrium when flows are changing over time. In addition, recent research has also focused on integrating dynamic equilibrium with traffic control and other mechanism designs such as congestion pricing and network design. Recently, advances in sensor deployment, availability of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states and have contributed to new research problems which advance previous models in dynamic modeling. A recent National Science Foundation workshop on “Dynamic Route Guidance and Traffic Control” was organized in June 2010 at Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri , Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop brought together experts in this area from universities, industry and federal/state agencies to present recent findings in this area. Various topics were presented at the workshop including dynamic traffic assignment, traffic flow modeling, network control, complex systems, mobile sensor deployment, intelligent traffic systems and data collection issues. This book is motivated by the research presented at this workshop and the discussions that followed.
R 6,228.00
Advanced Concepts, Methodologies and Technologies for Transportation and Logistics
This book is a collection of original papers produced by the members of the Euro Working Group on Transportation (EWGT) in the last several years (2015–2017). The respective chapters present the results of various research projects carried out by the members of the EWGT and extended versions of presentations given at the last several meetings of the EWGT. The book offers a representative sampling of the EWGT’s research activities and covers the state-of-the-art in quantitative oriented transportation/logistics research. It highlights a range of advanced concepts, methodologies and technologies, divided into four major thematic streams: Multiple Criteria Analysis in Transportation and Logistics; Urban Transportation and City Logistics; Road Safety and Artificial Intelligence and Soft Computing in Transportation and Logistics. The book is intended for academics/researchers, analysts, business consultants, and graduate students who are interested in advanced techniques of mathematical modeling and computational procedures applied in transportation and logistics.
R 6,259.57
R 16,100.35
Big Data Analytics and Intelligent Techniques for Smart Cities
Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering.Features: Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart cities Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes
R 7,580.72
Urban Transformation through Artificial Intelligence
This book offers an in-depth examination of the ways in which artificial intelligence is reshaping urban landscapes to address the demands of sustainable development. It positions AI as an essential instrument for creating more intelligent, resilient cities that meet the requirements of contemporary urban living and environmental sustainability.It emphasises AI-driven advancements in urban management, including the optimisation of transportation, the administration of energy-efficient infrastructure, and the enhancement of public safety using predictive analytics. The examination of AI's role in critical services such as water and waste management, along with personalised public services, illustrates how data-driven insights improve citizens' quality of life. The book also examines AI applications in urban planning, modifying cities in response to climate and population changes. The authors present case studies of successful smart cities globally, providing practical insights and addressing legislative hurdles, privacy issues, and future trends influencing urban AI integration.This book is a valuable resource for academics across the fields of urban studies, technology and innovation management, transport studies, and public policy.
R 8,572.00
Smart Mobility and Intelligent Transportation Systems for Commercial and Hazardous Vehicles
This new volume considers the use of smart technologies in commercial and hazardous vehicles, looking at the challenges and solutions to transportation issues that can be solved with such intelligent applications as artificial intelligence, Internet of Things, neural networks, blockchain, machine learning, big data, etc. The book illustrates the use these smart technologies for vehicle pedestrian detection, in the planning of smart cities for traffic patterns, for the improvement of transportation power stations, for smart railway cargo management systems, and more.
R 8,194.27
Data-Driven Solutions to Transportation Problems
Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more.
R 2,943.00
Explainable Artificial Intelligence for Intelligent Transportation Systems
Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence.Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment.The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.
R 7,278.39
Proceedings of the 5th International Symposium for Intelligent Transportation and Smart City (ITASC)
This book presents research advances in intelligent transportation and smart city in detail, mainly focusing on green traffic and urban utility tunnels, presented at the 5th International Symposium for Intelligent Transportation and Smart City (ITASC 2022) held at Tongji University, Shanghai, on May 20-21, 2022. It is also branch of the International Symposium on Autonomous Decentralized Systems (ISADS) 2023. Due to rapid development in the domain of intelligent transportation and smart city, many popular topics are included, such as the 2BMW system (Bus, Bike, Metro and Walking), transportation safety and environment protection, urban utility design and application, the application of BIM in the city design. This book collects papers with high quality, including some authoritative scholars and most experienced engineers’ latest achievements, which will provide guidance to those both in universities and entrepreneurs in the field of transportation and urban planning.The first conference in the ITASC series was held in 2013 as a workshop of the International Symposium on Autonomous Decentralized System (ISADS) in Mexico City. The second to fourth were held in May 2015, 2017 and 2019, respectively, in Tongji University, Shanghai.
R 10,095.50
Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems
This book contributes to making urban rail transport fast, punctual and energy-efficient –significant factors in the importance of public transportation systems to economic, environmental and social requirements at both municipal and national levels. It proposes new methods for shortening passenger travel times and for reducing energy consumption, addressing two major topics: (1) train trajectory planning: the authors derive a nonlinear model for the operation of trains and present several approaches for calculating optimal and energy-efficient trajectories within a given schedule; and (2) train scheduling: the authors develop a train scheduling model for urban rail systems and optimization approaches with which to balance total passenger travel time with energy efficiency and other costs to the operator.Mixed-integer linear programming and pseudospectral methods are among the new methods proposed for single- and multi-train systems for the solution of the nonlinear trajectory planning problem which involves constraints such as varying speed restrictions and maximum traction/braking force. Signaling systems and their effects are also accounted for in the trajectory planning model.Origin–destination passenger demand is included in the model formulation for train scheduling. Iterative convex programming and efficient bi-level approaches are utilized in the solution of the train-scheduling problem. In addition, the splitting rates and route choices of passengers are also optimized from the system point of view. The problems and solutions described in Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems will interest researchers studying public transport systems and logistics whether from an academic or practitioner background as well as providing a real application for anybody studying optimization theory and predictive control.
R 4,030.00
City and Transportation Planning
Many urban and transportation problems, such as traffic congestion, traffic accidents, and environmental burdens, result from poor integration of land use and transportation. This graduate-level textbook outlines strategies for sustainably integrating land use and transportation planning, addressing the impact on land use of advanced transport like light rail transit and autonomous cars, and the emerging focus on cyber space and the role of ICT and big data in city planning.The text also explores how we can create sustainable cities for the future. In contrast to the "compact city", which has been proposed as an environmentally friendly urban model, recent years have seen an acceleration in the introduction of ICT-based "smart city". As people’s lives are drastically changed by COVID-19, a new form of city is being explored. The new concept of a "smart sharing city" is introduced as an urban model that wisely integrates physical and cyber space, and presents a way to solve future urban issues with new technologies.
R 7,568.67
Computer-based Modelling and Optimization in Transportation
This volume brings together works resulting from research carried out by members of the EURO Working Group on Transportation (EWGT) and presented during meetings and workshops organized by the Group under the patronage of the Association of European Operational Research Societies in 2012 and 2013.The main targets of the EWGT include providing a forum to share research information and experience, encouraging joint research and the development of both theoretical methods and applications, and promoting cooperation among the many institutions and organizations which are leaders at national level in the field of transportation and logistics.The primary fields of interest concern operational research methods, mathematical models and computation algorithms, to solve and sustain solutions to problems mainly faced by public administrations, city authorities, public transport companies, service providers and logistic operators. Related areas of interest are: land use and transportation planning, traffic control and simulation models, traffic network equilibrium models, public transport planning and management, applications of combinatorial optimization, vehicle routing and scheduling, intelligent transport systems, logistics and freight transport, environment problems, transport safety, and impact evaluation methods.In this volume, attention focuses on the following topics of interest:· Decision-making and decision support · Energy and Environmental Impacts· Urban network design· Optimization and simulation· Traffic Modelling, Control and Network Traffic Management· Transportation Planning· Mobility, Accessibility and Travel Behavior· Vehicle Routing
R 4,711.51
Present Approach to Traffic Flow Theory and Research in Civil and Transportation Engineering
This book presents many valuable tips for making decisions related to traffic flow in the transport networks. The knowledge base in practical examples, as well as the decision support systems described in this book, finds interest among people who face the daily challenge of searching for solutions to the problems of contemporary transport networks and systems. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the evaluation of BEV and FCHEV electric vehicles in the creation of a sustainable transport systems, development of ecological public transport on the example of selected cities, impact of drivers' waiting time on the gap acceptance at median, uncontrolled T-intersections). In turn, due to a new approach to theoretical models (including, inter alia, the application of genetic algorithms for the planning of urban rail transportation system, comprehensive estimate of life cycle costs of new technical systems using reliability verification algorithm, application and comparison of machine learning algorithms in traffic signals prediction), the publication also interests scientists and researchers carrying out research in this area.
R 8,397.02
Present Approach to Traffic Flow Theory and Research in Civil and Transportation Engineering
This book presents many valuable tips for making decisions related to traffic flow in the transport networks. The knowledge base in practical examples, as well as the decision support systems described in this book, finds interest among people who face the daily challenge of searching for solutions to the problems of contemporary transport networks and systems. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the evaluation of BEV and FCHEV electric vehicles in the creation of a sustainable transport systems, development of ecological public transport on the example of selected cities, impact of drivers' waiting time on the gap acceptance at median, uncontrolled T-intersections). In turn, due to a new approach to theoretical models (including, inter alia, the application of genetic algorithms for the planning of urban rail transportation system, comprehensive estimate of life cycle costs of new technical systems using reliability verification algorithm, application and comparison of machine learning algorithms in traffic signals prediction), the publication also interests scientists and researchers carrying out research in this area.
R 8,150.76
Advanced Statistical Methods For Transportation Economics And Engineering
Advanced Statistical Methods for Transportation Economics and Engineering presents recent advances and contemporary approaches in statistics, machine learning, and computational modeling, catered to the evolving demands of transportation systems. It analyses and interrogates smart statistical tools — like machine learning, time-series analysis, and spatial statistics — to help make sense of complex and heterogeneous transport systems.The fields of transportation economics and engineering are undergoing rapid transformation, driven by advancements in transportation systems, emerging technologies, and the imperative for sustainable solutions. To navigate these changes effectively, professionals and researchers require robust statistical tools to analyze the complex interplay of the economic, social, and engineering factors that are shaping modern transportation. Bridging the gap between theory and practice, this book emphasizes innovative approaches, interdisciplinary perspectives, and real-world applications. Emphasis is placed on interpretability and actionable results, ensuring that technical developments translate into practical improvements in transport systems.With contributions from a range of leading interdisciplinary experts and a plethora of real-world case studies, academics, practitioners, and policymakers in transport, sustainability, logistics, and urban planning will find within these pages a crucial resource for applying advanced analytical techniques to the numerous economic and engineering challenges shaping the future of transportation.
R 5,788.00
Interdisciplinary Approaches to Transportation and Urban Planning
Interdisciplinary approaches to transportation and urban planning are vital when addressing the challenges of modern cities. As urban populations increase and environmental concerns rise, traditional methods of planning often fall short. By integrating insights from diverse fields like sociology, environmental science, engineering, and economics, planners can develop better solutions for increased sustainability, equity, and efficiency. This collaboration may enhance transportation system designs while fostering vibrant urban environments. Embracing an interdisciplinary approach is necessary to allow innovative strategies responding to emerging social, economic, and environmental factors. Interdisciplinary Approaches to Transportation and Urban Planning explores the relationship between transportation systems and urban planning strategies, emphasizing the need for interdisciplinary collaboration to address challenges of contemporary urban environments. It provides a comprehensive overview of the latest research, innovative approaches, and practical solutions in the field of urban planning and transportation. This book covers topics such as cloud computing, smart cities, and urban mobility, and is a useful resource for architects, government officials, computer engineers, policymakers, economists, environmental scientists, academicians, and researchers.
R 8,343.15
Predictive Analytics
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
R 2,759.71
City and Transportation Planning
Many urban and transportation problems, such as traffic congestion, traffic accidents, and environmental burdens, result from poor integration of land use and transportation. This graduate-level textbook outlines strategies for sustainably integrating land use and transportation planning, addressing the impact on land use of advanced transport like light rail transit and autonomous cars, and the emerging focus on cyber space and the role of ICT and big data in city planning.The text also explores how we can create sustainable cities for the future. In contrast to the "compact city", which has been proposed as an environmentally friendly urban model, recent years have seen an acceleration in the introduction of ICT-based "smart city". As people’s lives are drastically changed by COVID-19, a new form of city is being explored. The new concept of a "smart sharing city" is introduced as an urban model that wisely integrates physical and cyber space, and presents a way to solve future urban issues with new technologies.
R 3,144.26
Machine Learning for Transportation Research and Applications
Transportation issues are often too complicated to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle the challenging transportation problems. Readers will learn how to develop and apply different types of machine learning models to transportation related problems. Example applications include transportation data generations, traffic sensing, transportation mode recognition, transportation system management and control, traffic flow prediction, and traffic safety analysis.
R 3,678.00
Sustainable Transportation and Smart Logistics
Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions provides deterministic and probabilistic models for transportation logistics problem-solving and decision-making. The book presents an overview of the intersections between sustainability, transportation, and logistics, and delves into the current problems associated with the implementation of sustainable transportation and smart logistics in urban settings. It also offers models for addressing complex structural problems and procedures for estimating transportation externalities such as environmental and social impacts, both in industrial and government arenas, as well as decision-making models from operational, tactical, and strategic management perspectives. Sustainable Transportation and Smart Logistics also covers best practices for practical corporate policy implementation, making it a comprehensive and vital resource for researchers, graduate students, practitioners, and policy makers in transportation, logistics, urban planning, economics, engineering, and environmental science.
R 3,678.00
Advanced Solutions of Transport Systems for Growing Mobility
What are the parameters that should be taken into account in an advanced simulation model designed for a transport system that promotes green travelling policies? How can the goal of modal shift be pursued through ICT solutions? Is it enough to apply only a single criterion when planning transport systems? What is the importance of information acquisition and provision in Intelligent Transport Systems? Answers to these and many other questions can be found in this publication. It also contains numerous analyses based on relevant data sets, illustrating the close relationship between ITS and the changes observed in terms of how specific means of transport are used. What proves to be particularly important for advanced transport systems is the use of environmentally friendly solutions that reduce their negative environmental impacts; accordingly, the book also addresses this aspect. With regard to the research results discussed and the selected solutions applied, the book primarily addresses the needs of three target groups: · Scientists and researchers (ITS field) · Local authorities (responsible for transport systems at the urban and regional level) · Representatives of business (traffic strategy management) and industry (manufacturers of ITS components) Advanced Solutions of Transport Systems for Growing Mobility gathers selected papers presented at the 14th “Transport Systems. Theory and Practice” Scientific and Technical Conference, organized by the Department of Transport Systems and Traffic Engineering at the Faculty of Transport of the Silesian University of Technology. The conference was held on 18-20 September 2017 in Katowice (Poland). More details at www.TSTP.polsl.pl
R 5,589.86
Explainable Artificial Intelligence for Intelligent Transportation Systems
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS.FEATURES:Provides the necessary background for newcomers to the field (both academics and interested practitioners)Presents a timely snapshot of explainable and interpretable models in ITS applicationsDiscusses ethical, societal, and legal implications of adopting XAI in the context of ITSIdentifies future research directions and open problems
R 2,711.00
Explainable Artificial Intelligence for Intelligent Transportation Systems
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can be hardly explained. This can be very problematic especially for systems of a safety-critical nature such as transportation systems. Explainable AI methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. Examining explainable AI in the field of ITS, this book has the following key features:• provides the necessary background for newcomers to the field (both academics and interested partitioners).• presents a timely snapshot of explainable and interpretable models in ITS applications.• discusses ethical, societal, and legal implications of adopting XAI in the context of ITS.• identifies future research directions and open problems.
R 6,118.00
Intelligent Transportation Systems
This book presents cutting-edge work onthe most challenging research issues concerning intelligent transportationsystems (ITS), introducing selected, highly relevant advanced research onscheduling and real-time communication for vehicular networks, as well as faulttolerance, test beds and simulations for ITS. The authors define newarchitectures that support cooperative sensing in ITS and offer guidance forthe development of a reference end-to-end implementation. The presented resultsallow advanced traffic and travel management strategies to be formulated on thebasis of reliable and real-time input data. The effectiveness of these newstrategies, together with the proposed systems, is assessed in field trials andvia simulations.The chapters in this book detail newresearch findings, algorithms, protocols, and the development of animplementation platform for ITS that merges and integrates heterogeneous datasources into a common system. In addition, they provide a set of advanced toolsfor the control, monitoring, simulation, and prediction of traffic that resultin safer, more sustainable, and less congested roads. Work undertaken within the framework of theFP7 project ICSI (Intelligent Cooperative Sensing for Improved trafficefficiency) is also included in the research activities addressed.
R 4,030.00
Transportation Planning
This book collects selected presentations of the Meeting of the EURO Working Group on Transportation, which took place at the Department of Ma- ematics at Chalmers University of Technology, Göteborg (or, Gothenburg), Sweden, September 9–11, 1998. [The EURO Working Group on Transpor- tion was founded at the end of the 7th EURO Summer Institute on Urban Traffic Management, which took place in Cetraro, Italy, June 21–July, 1991. There were around 30 founding members of the Working Group, a number which now has grown to around 150. Meetings since then include Paris (1993), Barcelona (1994), and Newcastle (1996). ] About 100 participants were present, enjoying healthy rain and a memorable conference dinner in the Feskekôrka. The total number of presentations at the conference was about 60, coming from quite diverse areas within the field of operations research in transportation, and covering all modes of transport: Deterministic traffic equilibrium models (6 papers) Stochastic traffic equilibrium models (5 papers) Combined traffic models (3 papers) Dynamic traffic models (7 papers) Simulation models (4 papers) Origin–destination matrix estimation (2 papers) Urban public transport models (8 papers) Aircraft scheduling (1 paper) Ship routing (2 papers) Railway planning and scheduling (6 papers) Vehicle routing (3 papers) Traffic management (3 papers) Signal control models (3 papers) Transportation systems analysis (5 papers) ix x TRANSPORTATION PLANNING Among these papers, 14 were eventually selected to be included in this volume.
R 3,032.01
Intelligent Technology for Future Transportation
This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Technology for Future Transportation, ITFT 2025 held in London, UK, during November 18–20, 2025.The 26 full papers included in this volume were carefully reviewed and selected from 67 submissions. They are organized into the following topical sections: Intelligent Transportation Systems and Data-Driven Modeling & Optimization; Intelligent Vehicles, Autonomous Control, and Perception Technologies; Smart Transportation Infrastructure, Safety, and Resilience; and Transportation Electrification, Energy Systems, and Grid Integration.
R 3,893.37
AIoT for Smart Transportation
AIoT for Smart Transportation: Transforming the future of mobility explores the convergence of artificial intelligence (AI) and the internet of things (IoT) technologies in the context of modern transportation systems. Intelligent transportation systems (ITS) leverage cutting-edge information, electronic, sensing, communication, control, and management technologies to transform raw traffic data, gathered from individuals, vehicles, and road infrastructure within the transportation network, into valuable and actionable information. By facilitating real-time communication and seamless connectivity through robust communication systems, ITS can enhance the synergy among people, vehicles, and road infrastructure. This book explores the dynamic intersection of AIoT technologies and their pivotal role in shaping the future of transportation systems. It looks at the critical challenges posed by urbanization, and the demand for efficient, safe, and sustainable mobility, featuring chapters exploring the challenges, technologies, applications, and future trends of AIoT in realizing intelligent transportation. Topics include: AIoT for real-time traffic analysis and optimisation, the role of data and sensors, security and safety, and sustainable mobility. This book aims to help readers understand and leverage the potential of AIoT in modern transportation, providing insights and practical knowledge for those working, or interested, in the evolving landscape of smart transportation. It is intended to be a useful resource for researchers from industry and academia, scientists, and engineers in the fields of ICT and networking, IoT, smart technologies, and transportation.
R 4,702.00
Geoinformatics for Intelligent Transportation
The aim of the book is to present and discuss new methods, issues and challenges involved in geoinformatics’ contribution to making transportation more intelligent, efficient and human-friendly. It covers a wide range of topics related to transportation and geoinformatics. The themes are divided into four main sections: Transport modeling, Sensor data and services, Intelligent transport systems, and Transport planning and accessibility.
R 4,030.00
Human Centric Intelligent Transportation Systems
In the era rapid technological advancement, the transportation sector stands at the cusp of a transformative era. Human-Centric Intelligent Transportation Systems (HC-ITS) represent a significant leap forward, emphasizing the integration of human factors into the design, implementation, and operation of transportation networks. This book explores the multifaceted dimensions of HC-ITS, highlighting their potential to revolutionize transportation. The foundation of HC-ITS lies in recognizing the importance of human needs, behaviors, and safety. By prioritizing these elements, HC-ITS aims to create more efficient, accessible, and safer transportation environments. This approach not only enhances user experience but also fosters a sustainable and inclusive transportation ecosystem.This book provides a detailed overview of HC-ITS, beginning with the fundamental principles that underpin this innovative approach. It then delves into the core concepts, exploring how user-centered design, human-machine interaction, and advanced data analytics converge to create intelligent transportation solutions. The practical applications of HC-ITS are vast and varied. The volume examines their implementation in smart traffic management, public transportation systems, autonomous vehicles, and initiatives aimed at improving pedestrian and cyclist safety. Through detailed case studies and real-world examples, it illustrates how HC-ITS are being deployed to address current transportation challenges and enhance the quality of urban life.
R 6,118.00
Integrated Urban Models Volume 2: New Research and Applications of Optimization and Dynamics (Routledge Revivals)
Following on from Integrated Models Volume 1: Policy Analysis of Transportation and Lane Use (Routledge Library Editions, 2006), this book bridges the gap between the scholars and the practitioners of transportation and land-use modelling. First published in 1991, chapters discuss model-calibration and model-solution problems, describe a series of numerical and policy analyses, and propose potential directions for location and land-use research. This reissue will be of particular value to undergraduate and postgraduate geography students with an interest in integrated urban modelling; in particular, the research conducted in the field over the past two decades.
R 2,140.60
Integration as Solution for Advanced Smart Urban Transport Systems
Methods of advanced data collecting and their analysis, models which help with decision problems as well as technical solutions which improve the integrity of contemporary transport systems at urban area are only some of many problems connected with integration in passenger and freight transport which have been discussed in this book. The book expresses case study-based scientific and practical approach to the problems of contemporary transport systems. The proposed methods and models enable a system approach to assess current solutions. In turn, implementation proposals may support the improvement of the integrity of individual elements of transport systems, and thus increase its effectiveness on the global scale.With regard to the research results discussed and the selected solutions applied, the book primarily addresses the needs of three target groups:• Scientists and researchers (ITS field)• Local authorities (responsible for the transport systems at the urban and regional level)• Representatives of business (traffic strategy management) and industry (manufacturers of ITS components).This book gathers selected papers presented at the 15th Scientific and Technical Conference “Transport Systems. Theory and Practice” organised by the Department of Transport Systems and Traffic Engineering at the Faculty of Transport of the Silesian University of Technology. The conference was held in Katowice, Poland on September 17–19, 2018.
R 5,569.35
