Research on a Conflict Early Warning System Based on the Active Safety Concept
In order to reduce traffic conflicts on cross-intensive roads, this paper proposes a new early warning system based on the active safety concept. The system collects real-time vehicle data using roadside sensors and transmits the results to drivers on the major road in a timely manner via roadside warning lights. In this research, the principles of the warning system are discussed in detail, including how the vehicle dynamics data are collected and how potential collisions are identified and avoided. Through a driving simulation experiment, the speed prediction model after implementation of the warning system was examined. Results indicated that it can accurately identify the vehicle operating status, accurately guide driving behavior, and effectively reduce traffic conflict. To verify the reliability of the proposed warning logic and algorithm, numerical simulations were carried out via CarSim/Simulink cosimulation. The simulation results indicate that the proposed system enables drivers to perceive conflicting vehicles in advance, avoid the sudden braking phenomenon, and ensure safe driving.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
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Supplemental Notes:
- Copyright © 2018 Bozhao Shen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Authors:
- Shen, Bozhao
- Zhang, Zhiqing
- Liu, Hao
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0000-0001-5585-6576
- Li, Shiyun
- Zhao, Lei
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 11p
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Serial:
- Journal of Advanced Transportation
- Volume: 2018
- Issue Number: Article ID 8372108
- Publisher: John Wiley & Sons, Incorporated
- ISSN: 0197-6729
- EISSN: 2042-3195
- Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Advanced driver information systems; Behavior; Drivers; Intersections; Real time information; Remote sensing; Traffic conflicts; Warning systems
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01682136
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 27 2018 4:11PM