With the advancements in sensor and computation technologies, connected autonomous vehicle (CAVs) services are deployed on roads, sharing the road with human-driven vehicles (HVs). This brings challenges to traffic safety, due to uncertainty in HVs' behaviors. Sharing the Road offers solutions to create a safer world with HVs and AVs.
With the advancements in sensor and computation technologies, connected autonomous vehicle (CAVs) services are deployed on roads, sharing the road with human-driven vehicles (HVs). This brings challenges to traffic safety, due to uncertainty in HVs' behaviors. Sharing the Road offers solutions to create a safer world with HVs and AVs.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dengbo He received his Bachelor's degree from Hunan University in 2012, M.S. degree from Shanghai Jiao Tong University in 2016 and Ph.D. degree from the University of Toronto in 2020. He worked as a Postdoctoral Research Fellow at the University of Toronto from 2020 to 2021 and is currently an Assistant Professor in Intelligent Transportation Thrust and Robotics and Autonomous Systems Thrust, at the Hong Kong University of Science and Technology (HKUST) (Guangzhou). He is also affiliated with the Department of Civil and Environmental Engineering, HKUST, Hong Kong SAR. His research focuses on human factors, driver behavior and the interactions between driving automation and human drivers. Xiaotong Sun is an Assistant Professor in the Intelligent Transportation Thrust and an affiliated Assistant Professor in the Civil and Environmental Engineering Department at the Hong Kong University of Science and Technology. Before joining HKUST, she was a Postdoctoral Research Fellow at the University of Michigan, Ann Arbor. She received her Ph.D. in Civil Engineering from the University of Michigan in July 2020. Huan Yu is an Assistant Professor in the Intelligent Transportation Thrust of the Systems Hub, and an affiliated Assistant Professor in the Department of Civil and Environmental Engineering at the Hong Kong University of Science and Technology (HKUST). Yu received her B.Eng. degree in Aerospace Engineering from Honor School (Elite program) of Northwestern Polytechnical University, and her M.Sc. and Ph.D. degrees in Aerospace Engineering from the Department of Mechanical and Aerospace Engineering, University of California, San Diego. She was a visiting scholar at University of California, Berkeley in 2018 and Massachusetts Institute of Technology in 2019. She was a Postdoctoral Researcher at University of California, San Diego before joining the HKUST (Guangzhou) in 2021.
Inhaltsangabe
Contents Acknowledgements About the Authors List of Contributors Chapter 1-Introduction Chapter 2-Empirical Research for Mixed Traffic Research Chapter 3-Tools for Micro Mixed Traffic Research Chapter 4 - Micro-Macro Mixed Traffic Flow Modeling Chapter 5 - Safety of Mixed Traffic: Evidence from Empirical Studies Chapter 6- Environmental Impact of the Mixed Traffic and Countermeasures Chapter 7 - Case Study: Driver Performance Difference and Model Difference Evaluation on Different Car-following Scenarios under Mixed Traffic Flow Chapter 8 - Case Study: Analysis of Mixed Traffic Flow Chapter 9 - Index
Contents Acknowledgements About the Authors List of Contributors Chapter 1-Introduction Chapter 2-Empirical Research for Mixed Traffic Research Chapter 3-Tools for Micro Mixed Traffic Research Chapter 4 - Micro-Macro Mixed Traffic Flow Modeling Chapter 5 - Safety of Mixed Traffic: Evidence from Empirical Studies Chapter 6- Environmental Impact of the Mixed Traffic and Countermeasures Chapter 7 - Case Study: Driver Performance Difference and Model Difference Evaluation on Different Car-following Scenarios under Mixed Traffic Flow Chapter 8 - Case Study: Analysis of Mixed Traffic Flow Chapter 9 - Index
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