Literature DB >> 23531266

A method for determining the number of traffic conflict points between vehicles at major-minor highway intersections.

Fuquan Pan1, Lixia Zhang, Jian Lu, Jiguang James Zhao, Fengyuan Wang.   

Abstract

BACKGROUND: Traffic conflict points are the areas formed by conflict movements in the traffic flow. The numbers and distributions of different types of traffic conflict points are often used to evaluate access management designs and the safety performance of intersections. Customarily, determining the number of different types of traffic conflict points is based on the manual drawing method, which is troublesome and makes using computerized procedures for calculation of the number of traffic conflict points difficult.
OBJECTIVE: The present work aims to quickly compute the number of traffic conflict points between vehicles at major-minor highway intersections.
METHODS: The concept of "virtual lanes" is defined, and the virtual lane conversion method is proposed. Based on actual and virtual lanes, vehicular movements, and traffic control modes, a generalized method to determine the number of traffic conflict points between vehicles at major-minor highway intersections is developed.
RESULTS: A procedure for determining the number of conflict points is presented. A similar HCM LOS-style form and computer software were designed to help calculate the number of conflict points.
CONCLUSIONS: Applications show that the method can efficiently and accurately determine the number of traffic conflict points between vehicles at major-minor highway intersections.

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Year:  2013        PMID: 23531266     DOI: 10.1080/15389588.2012.713148

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  2 in total

1.  Crash Risk Prediction Modeling Based on the Traffic Conflict Technique and a Microscopic Simulation for Freeway Interchange Merging Areas.

Authors:  Shen Li; Qiaojun Xiang; Yongfeng Ma; Xin Gu; Han Li
Journal:  Int J Environ Res Public Health       Date:  2016-11-19       Impact factor: 3.390

2.  Evaluating Signalization and Channelization Selections at Intersections Based on an Entropy Method.

Authors:  Yang Shao; Xueyan Han; Huan Wu; Christian G Claudel
Journal:  Entropy (Basel)       Date:  2019-08-18       Impact factor: 2.524

  2 in total

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