Abstract:
The advancement of technologies has fast-tracked the deployment of autonomous vehicles (AVs), however, they necessitate the modernization of the existing road infrastruct...Show MoreMetadata
Abstract:
The advancement of technologies has fast-tracked the deployment of autonomous vehicles (AVs), however, they necessitate the modernization of the existing road infrastructure to meet the technical and safety requirements of AVs. Due to the high cost and prolonged time required for upgrading infrastructure, it is expected that AVs will be introduced gradually into the existing transport network of human-driven vehicles (HVs) either jointly or separately in a special area or zone within that network. In this paper, we propose a mathematical framework for modelling and deployment of multi-lane AV zone in a mixed-user traffic network that takes into account the different route choice decisions of HVs and AVs. The model is used to study two different designs for a multi-lane AV zone, where in Design 1, both lanes are dedicated for AVs inside the AV zone; while in Design 2, one lane is dedicated for AVs, and another lane is for the HV traffic. We then derive an equivalent convex formulation and develop a novel solution method for this complex problem, as well as evaluate and compare the performance of the designs in a realistic large-scale transportation network. Numerical results show that the deployment of a multi-lane AV zone improves network performance in terms of the total system travel time (TSTT). The proposed framework can be used to assist transportation planners and decision-makers to successfully deploy AVs seamlessly with mixed traffic.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 23, Issue: 12, December 2022)
Funding Agency:
Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC, Australia
Keya Roy received the B.Sc. degree in civil engineering from the Rajshahi University of Engineering and Technology (RUET), Bangladesh, in 2014, and the master’s degree (Research) in transport engineering from Monash University, Australia, in 2021. Currently, she is pursuing the Ph.D. degree in transport engineering with The University of Melbourne, Australia. Her current research interests include complex transportation n...Show More
Keya Roy received the B.Sc. degree in civil engineering from the Rajshahi University of Engineering and Technology (RUET), Bangladesh, in 2014, and the master’s degree (Research) in transport engineering from Monash University, Australia, in 2021. Currently, she is pursuing the Ph.D. degree in transport engineering with The University of Melbourne, Australia. Her current research interests include complex transportation n...View more
Department of Civil Engineering, Monash University, Clayton, VIC, Australia
Nam Hong Hoang received the B.Sc. degree in computer science and engineering from the Ho Chi Minh City University of Technology (HCMUT), Vietnam, in 2007, the M.Sc. degree in telecommunication and computer networks engineering from Politecnico di Torino, Italy, in 2012, and the Ph.D. degree from the Swinburne University of Technology, Australia, in 2017. Since 2018, he has been a Research Fellow of intelligent transport s...Show More
Nam Hong Hoang received the B.Sc. degree in computer science and engineering from the Ho Chi Minh City University of Technology (HCMUT), Vietnam, in 2007, the M.Sc. degree in telecommunication and computer networks engineering from Politecnico di Torino, Italy, in 2012, and the Ph.D. degree from the Swinburne University of Technology, Australia, in 2017. Since 2018, he has been a Research Fellow of intelligent transport s...View more
Department of Civil Engineering, Monash University, Clayton, VIC, Australia
Hai L. Vu (Senior Member, IEEE) is currently a Professor of intelligent transport system (ITS) with the Faculty of Engineering, Institute of Transport Studies, Monash University, Australia. He is a world leading recognized expert with 20 years of experience who has authored or coauthored more than 180 scientific journals and conference papers in the ITS field. His research interests include modeling, performance analysis ...Show More
Hai L. Vu (Senior Member, IEEE) is currently a Professor of intelligent transport system (ITS) with the Faculty of Engineering, Institute of Transport Studies, Monash University, Australia. He is a world leading recognized expert with 20 years of experience who has authored or coauthored more than 180 scientific journals and conference papers in the ITS field. His research interests include modeling, performance analysis ...View more
Contents Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC, Australia
Keya Roy received the B.Sc. degree in civil engineering from the Rajshahi University of Engineering and Technology (RUET), Bangladesh, in 2014, and the master’s degree (Research) in transport engineering from Monash University, Australia, in 2021. Currently, she is pursuing the Ph.D. degree in transport engineering with The University of Melbourne, Australia. Her current research interests include complex transportation network modeling, optimization, and rebalancing strategy in AMoD service.
Keya Roy received the B.Sc. degree in civil engineering from the Rajshahi University of Engineering and Technology (RUET), Bangladesh, in 2014, and the master’s degree (Research) in transport engineering from Monash University, Australia, in 2021. Currently, she is pursuing the Ph.D. degree in transport engineering with The University of Melbourne, Australia. Her current research interests include complex transportation network modeling, optimization, and rebalancing strategy in AMoD service.View more
Department of Civil Engineering, Monash University, Clayton, VIC, Australia
Nam Hong Hoang received the B.Sc. degree in computer science and engineering from the Ho Chi Minh City University of Technology (HCMUT), Vietnam, in 2007, the M.Sc. degree in telecommunication and computer networks engineering from Politecnico di Torino, Italy, in 2012, and the Ph.D. degree from the Swinburne University of Technology, Australia, in 2017. Since 2018, he has been a Research Fellow of intelligent transport systems with the Engineering Faculty, Monash University. His research interest includes modeling and optimization in transport systems.
Nam Hong Hoang received the B.Sc. degree in computer science and engineering from the Ho Chi Minh City University of Technology (HCMUT), Vietnam, in 2007, the M.Sc. degree in telecommunication and computer networks engineering from Politecnico di Torino, Italy, in 2012, and the Ph.D. degree from the Swinburne University of Technology, Australia, in 2017. Since 2018, he has been a Research Fellow of intelligent transport systems with the Engineering Faculty, Monash University. His research interest includes modeling and optimization in transport systems.View more
Department of Civil Engineering, Monash University, Clayton, VIC, Australia
Hai L. Vu (Senior Member, IEEE) is currently a Professor of intelligent transport system (ITS) with the Faculty of Engineering, Institute of Transport Studies, Monash University, Australia. He is a world leading recognized expert with 20 years of experience who has authored or coauthored more than 180 scientific journals and conference papers in the ITS field. His research interests include modeling, performance analysis and design of complex networks, stochastic optimization and control with applications to connected autonomous vehicles, and intelligent transportation. He was a recipient of the 2012 Australian Research Council (ARC) Future Fellowship and the Victoria Fellowship Award for his research and leadership in ITS. He has recently led a team at Monash University in the development and validation of autonomous vehicle that won the 2019 Intelligent Transport Systems (ITS) National Research Award.
Hai L. Vu (Senior Member, IEEE) is currently a Professor of intelligent transport system (ITS) with the Faculty of Engineering, Institute of Transport Studies, Monash University, Australia. He is a world leading recognized expert with 20 years of experience who has authored or coauthored more than 180 scientific journals and conference papers in the ITS field. His research interests include modeling, performance analysis and design of complex networks, stochastic optimization and control with applications to connected autonomous vehicles, and intelligent transportation. He was a recipient of the 2012 Australian Research Council (ARC) Future Fellowship and the Victoria Fellowship Award for his research and leadership in ITS. He has recently led a team at Monash University in the development and validation of autonomous vehicle that won the 2019 Intelligent Transport Systems (ITS) National Research Award.View more
