Accurate Identification of Accident Black Point Based on Hazard Attribute Analysis
After more than 30 years of rapid development, China’s expressway has entered a stage of comprehensive long-term development. The safety problem of expressway has become a hotspot in the development of expressway. The accident black points as the focus of research on highway safety issues are directly related to the improvement of highway safety conditions. In this paper, the risk index is used to characterize the risk of accident multiple sections. Based on the analysis of the risk attributes of expressway accidents, the risk curve model of accident points is established. Considering the superposition of danger, Risk curve combination model, and then to promote the accident multiple point of the risk curve model, so as to establish the full range of highway safety function and curve model; to determine the accident black points to determine the threshold, combined with the highway risk curve model and determine the threshold, The establishment of highway accident black point recognition model, to achieve accurate identification of accident black points.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811506437
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Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
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Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Zhao, Jianyou
- Xue, Yongmei
- Peng, Yao
- Zhou, Chuang
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Conference:
- 9th International Conference on Green Intelligent Transportation Systems and Safety
- Location: Guilin , China
- Date: 2018-7-1 to 2018-7-3
- Publication Date: 2020-3
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 629-644
- Monograph Title: Green, Smart and Connected Transportation Systems: Proceedings of the 9th International Conference on Green Intelligent Transportation Systems and Safety
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Serial:
- Lecture Notes in Electrical Engineering
- Volume: 617
- Publisher: Springer
- ISSN: 1876-1100
Subject/Index Terms
- TRT Terms: Crash risk forecasting; Detection and identification system applications; Expressways; Hazard analysis; High risk locations; Traffic crashes
- Geographic Terms: China
- Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01899635
- Record Type: Publication
- ISBN: 9789811506437
- Files: TRIS
- Created Date: Nov 17 2023 11:25AM