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Full Description
With the advancements in sensor and computation technologies, connected autonomous vehicle (CAV) services are being tested and deployed on public roads, sharing the road with human- driven vehicles (HVs). This brings challenges to traffic safety, due to uncertainty in HVs behaviors. To address these challenges, Sharing the Road offers solutions to create a safer world where HVs and AVs mix freely on our roads.
Presented from a team of researchers from different domains offering varying perspectives, this book systematically summarizes the issues and trends of mixed traffic, from the micro (such as vehicle algorithm design) to the macro (including traffic flow optimization and policy) perspectives. Customized car- following models describing the behaviors of HVs when interacting with CAVs and control algorithms optimizing the traffic flow in terms of traffic safety and efficiency are discussed. The title also summarizes approaches to model HVs' behaviors and case studies of real-life examples are provided, leaving the reader with a detailed vision of the future of a mixed- traffic world.
This title will appeal to professionals at any career stage in the fields of human factor engineering, traffic engineering, urban design, and vehicle engineering.
Contents
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 - Case study: Mixed Traffic with Connected and Automated Vehicle Scenario in Southern California
Index
