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Journal of Advanced Transportation
Volume 2017, Article ID 5270951, 8 pages
Research Article

Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index

1Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China
2Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China
3School of Transportation, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China
4Kunshan Transport Management Office, Hongqiao Road No. 109, Kunshan 215399, China
5School of Architecture, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China

Correspondence should be addressed to Zhenjun Zhu; nc.ude.ues@nujnehzuhz

Received 30 June 2016; Revised 20 October 2016; Accepted 23 January 2017; Published 26 February 2017

Academic Editor: Juan C. Cano

Copyright © 2017 Zhenjun Zhu 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.


In order to reduce the impact of highway traffic accidents on surrounding road networks, accident influence area should be determined reasonably. According to the relationship between vehicle bypass decision-making index and threshold under accident condition, the vehicles’ route choice behavior at upstream of the accident spot can be divided into two types: bypass and nonbypass. Under nonbypass condition, the method of using traffic wave theory was put forward to determine the upstream influence area. Under bypass condition, the total number of bypass vehicles is determined based on bypass decision-making index being greater than bypass threshold. Assignment algorithms based on routes were proposed. Using improved Logit model to get the selection probability and the traffic flow of each route, then traffic flow of surrounding links could be obtained. At last, the road network influenced by the accident could be determined by comparing with the level of service of each link under normal condition. The paper takes Beijing-Kunming highway as an example, and the results show that the road network formed by the influenced links was highway traffic accident influence area. Comparing with the actual survey results, correctness of the calculation method is verified. Therefore, the analytical method based on bypass decision-making is applicable to determining highway accident influence area.