This book comprises the proceedings of the Sixth International Conference of Transportation Research Group of India (CTRG2021) focusing on emerging opportunities and challenges in the field of transportation of people and freight. The contents of the volume include Traffic flow theory, Travel Behaviour, Walking Dynamics of Pedestrians, Urban Traffic characteristics, and uncontrolled intersections. This book will be beneficial to researchers, educators, practitioners, and policymakers alike.

Comprises select peer-reviewed proceedings of the international conference CTRG 2020 Enriches understanding by including contributions from leading experts across the globe Covers advances in the field of transportation of people and freight

Autorentext

Dr. Lelitha Devi is a Professor in the Transportation Division of the Department of Civil Engineering at Indian Institute of Technology (IIT) Madras and holds a Ph.D. from Texas A&M University, USA. Her teaching and research interests are in the general area of transportation systems with emphasis on traffic flow modelling, traffic operations, and Intelligent Transportation systems. She has published around 90 referreed journal papers and more than 100 conference papers. She serves in various editorial boards and is a member of various national and international societies. She has been involved in 15 research projects and has graduated more than 10 MS/Ph.D. scholars. Dr. Gowri Asaithambi is currently working as an Assistant Professor in the Department of Civil and Environmental Engineering at Indian Institute of Technology (IIT) Tirupati, India. She received her PhD from IIT Madras in 2011. Her main research interests are traffic flow modelling and simulation, traffic operations and management, pedestrian safety, and intelligent transportation systems. Dr. Shriniwas S. Arkatkar is currently working as an Associate Professor in the Civil Engineering Department at SVNIT Surat. Recently, he is appointed as Adjunct Professor at Department of Civil Engineering, Ryerson University, Canada. Prior to joining SVNIT Surat, he has worked in the Department of Civil Engineering at BITS Pilani, India. He pursued his Ph.D. research in the Transportation Engineering Division, Department of Civil Engineering, IIT Madras. His research interests include traffic flow modelling and simulation, traffic operation and management, data collection using new technologies, intelligent transportation systems, transportation systems planning, design and operation, public transportation and sustainable transportation, road safety and simulation. He has published more than 200 research papers in international/national journals and conference proceedings. He has guided eight doctoral students and more than forty masters' students. He serves in various editorial boards and works as a member of various national and international societies. Ashish Verma is the Convenor of "IISc Sustainable Transportation Lab. (IST Lab.)". He is Ph.D. from Indian Institute of Technology (IIT) Bombay and is currently serving as Associate Professor of Transportation Systems Engineering at the Department of Civil Engineering, Centre for infrastructure, Sustainable Transportation, and Urban Planning (CiSTUP), and Robert Bosch Centre for Cyber Physical Systems (RBCCPS) at Indian Institute of Science (IISc), Bangalore, India. Further, he was a Visiting Professor at ITMO University, Russia and a Visiting Fellow at Queensland University of Technology (QUT), Brisbane, Australia. Before joining IISc, he has served in IIT Guwahati, and Mumbai Metropolitan Region Development Authority (MMRDA).

Inhalt
Machine Learning-Based Gap Acceptance Model for Uncontrolled Intersections under Mixed Traffic Conditions.- Modelling decision to overtake on two-lane two-way highway.- Influence of skew angle on the gap parameters at uncontrolled intersections.- Multi-branch traffic flow prediction based on temporal speed.- Following behaviour of Motorized Two Wheelers in Mixed Traffic conditions.- Spatio-Temporal Traffic Characteristics Analysis on Multi-Lane Highways under Varying Traffic Flow and Density Levels.