Data Analytics and Machine Learning for Integrated Corridor Management

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.

Yashaswi Karnati is a computer scientist with expertise in

machine learning, computer vision and intelligent transportation systems. Having

completed a PhD in Computer Science from the University of Florida, he has embarked

on a career that sits at the intersection of academic excellence and industry

innovation. He is currently working with NVIDIA Corporation, focusing on the

development of digital twin technologies.

Dhruv Mahajan completed his Ph.D. from the Department

of Computer & Information Science & Engineering, University of Florida in May

2021. He is currently working on advancing Privacy Preserving Machine Learning

techniques at Procter & Gamble.

Tania Banerjee serves as a Research Assistant Scientist within

the Department of Computer & Information Science & Engineering at the University

of Florida. Her research interests are in the area

Rahul Sengupta is a Ph.D. student at the Computer and Information

Science Department at the University of Florida, Gainesville, USA. His research

interests include applying Machine Learning models to sequential and time-series

data, especially in the field of transportation engineering.

Clay Packard is a principal software and systems engineer at

HNTB with a focus in transportation technology. Clay provides technical leadership

in systems planning, program and project development, and providing subject matter

expertise to transportation agencies.

Ryan Casburn, a traffic engineer with over five years of experience,

boasts a lifelong passion for optimizing transportation systems. Fascinated

by the dynamic interactions within these systems, he specializes in crafting practical

solutions based on real-world behaviors rather than purely theoretical models. His

diverse project portfolio spans microsimulation, signal retiming, and transportation

planning, software development of user-friendly transportation analysis tools. Ryan’s

expertise and dedication make him a valuable asset in the realm of traffic engineering

and integrated corridor management.

Anand Rangarajan is Professor, Dept. of CISE, University of

Florida. His research interests are machine learning, computer vision, medical and

hyperspectral imaging and the science of consciousness.

Jeremy Dilmore is the Transportation Systems Management

and Operation Engineer for the Florida Department of Transportation District 5.

He has 19 years of experience with the Department, with 13 of those years in

Intelligent Transportation Systems and/or Transportation Systems Management and

Operations. In this position he is responsible for leadingFDOTDistrict 5’s technology

efforts including working in the fields of signal timing optimization, managed lanes,

simulation modeling, and connected and autonomous vehicles.

Sanjay Ranka is a Distinguished Professor in

the Department of Computer Information Science and Engineering at University

of Florida. His current research interests are high performance computing and big

data science with a focus on applications in CFD, healthcare and transportation. He

has co-authored four books, 290+ journal and refereed conference articles. He is a

Fellow of the IEEE and AAAS. He is an Associate Editor-in-Chief of the Journal

of Parallel and Distributed Computing and an Associate Editor for ACM Computing

Surveys, Applied Sciences, Applied Intelligence, IEEE/ACM Transactions on

Computational Biology and Bioinformatics