Data Analytics and Machine Learning for Integrated Corridor Management

In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount. This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes.From the fundamental principles of traffic signal dynamics to the cutting-edge applications of machine learning, each chapter of this comprehensive guide unveils essential aspects of modern transportation management systems. Chapter by chapter, readers are immersed in the complexities of traffic signal coordination, corridor management, data-driven decision-making, and the integration of advanced technologies. Closing with chapters on modeling measures of effectiveness and computational signal timing optimization, the guide equips readers with the knowledge and tools needed to navigate the complexities of modern transportation management systems. With insights into traffic data visualization and operational performance measures, this book empowers traffic engineers and administrators to design 21st-century signal policies that optimize mobility, enhance safety, and shape the future of urban transportation.

Yashaswi Karnati is a computer scientist with expertise inmachine learning, computer vision and intelligent transportation systems. Havingcompleted a PhD in Computer Science from the University of Florida, he has embarkedon a career that sits at the intersection of academic excellence and industryinnovation. He is currently working with NVIDIA Corporation, focusing on thedevelopment of digital twin technologies.Dhruv Mahajan completed his Ph.D. from the Departmentof Computer & Information Science & Engineering, University of Florida in May2021. He is currently working on advancing Privacy Preserving Machine Learningtechniques at Procter & Gamble.Tania Banerjee serves as a Research Assistant Scientist withinthe Department of Computer & Information Science & Engineering at the Universityof Florida. Her research interests are in the areaRahul Sengupta is a Ph.D. student at the Computer and InformationScience Department at the University of Florida, Gainesville, USA. His researchinterests include applying Machine Learning models to sequential and time-seriesdata, especially in the field of transportation engineering.Clay Packard is a principal software and systems engineer atHNTB with a focus in transportation technology. Clay provides technical leadershipin systems planning, program and project development, and providing subject matterexpertise to transportation agencies.Ryan Casburn, a traffic engineer with over five years of experience,boasts a lifelong passion for optimizing transportation systems. Fascinatedby the dynamic interactions within these systems, he specializes in crafting practicalsolutions based on real-world behaviors rather than purely theoretical models. Hisdiverse project portfolio spans microsimulation, signal retiming, and transportationplanning, software development of user-friendly transportation analysis tools. Ryan’sexpertise and dedication make him a valuable asset in the realm of traffic engineeringand integrated corridor management.Anand Rangarajan is Professor, Dept. of CISE, University ofFlorida. His research interests are machine learning, computer vision, medical andhyperspectral imaging and the science of consciousness.Jeremy Dilmore is the Transportation Systems Managementand Operation Engineer for the Florida Department of Transportation District 5.He has 19 years of experience with the Department, with 13 of those years inIntelligent Transportation Systems and/or Transportation Systems Management andOperations. In this position he is responsible for leadingFDOTDistrict 5’s technologyefforts including working in the fields of signal timing optimization, managed lanes,simulation modeling, and connected and autonomous vehicles.Sanjay Ranka is a Distinguished Professor inthe Department of Computer Information Science and Engineering at Universityof Florida. His current research interests are high performance computing and bigdata science with a focus on applications in CFD, healthcare and transportation. Hehas co-aut