Freeway Work Zone Rear-End Conflict Study Based on Two Traffic Conflict Indicators
This paper aims to use traffic conflict techniques to analyze the safety situation of freeway work zones because historical crash data does not meet the requirements of statistical analysis. First, traffic data of individual vehicles through the merging area and working area of closed one-way work zones and closed passing-lane work zones are collected and analyzed. Second, two methodologies are introduced and modified. The first one is based on time to collision (TTC), which can calculate the rear-end conflict number, while the second model is based on deceleration rate to avoid crash (DRAC), which can determine the possibility of rear-end collisions happening. Then, the rear-end conflict situation of typical work zones' merging areas and working areas are evaluated by the methodologies mentioned above. The results show these measures can quantitatively describe the rear-end conflict situation from different aspects.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413159
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Supplemental Notes:
- © 2013 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Gao, Libo
- Meng, Xianghai
- Xu, Hanqing
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Conference:
- Fourth International Conference on Transportation Engineering
- Location: Chengdu , China
- Date: 2013-10-19 to 2013-10-20
- Publication Date: 2013-10
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 558-563
- Monograph Title: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation
Subject/Index Terms
- TRT Terms: Deceleration; Freeways; Merging area; Methodology; Rear end crashes; Traffic conflicts; Work zone safety; Work zones
- Subject Areas: Highways; Safety and Human Factors; I80: Accident Studies;
Filing Info
- Accession Number: 01505706
- Record Type: Publication
- ISBN: 9780784413159
- Files: TRIS, ASCE
- Created Date: Jan 27 2014 11:27AM