Coordinated collision avoidance for connected vehicles using relative kinetic energy density
Vehicular collision often leads to serious casualties and traffic congestion, and the consequences are worse for multiple-vehicle collision. Many previous works on collision avoidance have only focused on the case for two consecutive vehicles using on-board sensors, which ignored the influence on upstream traffic flow. This paper proposes a novel coordinated collision avoidance (CCA) strategy for connected vehicles, which has potential to avoid collision and smooth the braking behaviors of multiple vehicles, leading to an improvement of traffic smoothness. Specifically, model predictive control (MPC) framework is used to formulate the CCA into an optimization problem, where the objective is to minimize the total relative kinetic energy density (RKED) among connected vehicles. Monte Carlo simulations are used to demonstrate the effectiveness of proposed CCA strategy by comparison with other two strategies. Among all the three control strategies, the RKED based control strategy shows the best performance of collision avoidance, including the best crash prevention rates (99.2 % on dry asphalt road and 90.5 % on wet asphalt road) and the best control of distance headways between vehicles.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/12299138
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Supplemental Notes:
- Copyright © 2017, The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
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Authors:
- Hu, Manjiang
- Wu, Jian
- Qin, Hongmao
- Bian, Yougang
- Xu, Biao
- Xu, Qing
- He, Jugang
- Wang, Jianqiang
- Publication Date: 2017-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 923-932
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Serial:
- International Journal of Automotive Technology
- Volume: 18
- Issue Number: 5
- Publisher: Korean Society of Automotive Engineers
- ISSN: 1229-9138
- EISSN: 1976-3832
- Serial URL: http://link.springer.com/journal/12239
Subject/Index Terms
- TRT Terms: Adaptive control; Braking; Crash avoidance systems; Intelligent vehicles; Kinetic energy; Mobile communication systems; Monte Carlo method; Optimization
- Uncontrolled Terms: Model predictive control
- Subject Areas: Data and Information Technology; Energy; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01644217
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 29 2017 10:07AM