2023Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022)Requires access

Research on traffic safety state evaluation of signalized intersection based on traffic conflicts technique

Jianing Gao, Weiwei Meng, Xiaodong Zhu

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Abstract

Urban intersections, especially grade crossings, are bottlenecks of city road, as well as the locations with more traffic accidents. The characteristics of traffic conflict are large sample and easy observation. Traffic conflict is used to evaluate the intersection safety. For the two-phase signalized intersection, the main type of intersection conflict is the conflict between turn left and opposite direct. In order to evaluate the influence of turn-left and opposite direct traffic volume on signalized intersection, a Vissim simulation experiment was made for imitating the traffic flow condition on a two-phase signalized intersection. We achieved the trajectory data by changing the traffic volume. Based on traffic conflict technique, a generalized linear traffic conflict prediction model was established, and then the prediction traffic conflict was used to evaluate the signalized intersection safety level. By analyzing the conflict of Sidaokou, a two-phase signalized intersection in Haidian District, Beijing, we found that this model can effectively provide the prediction traffic conflict to evaluate intersection safety status.

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What this paper is about

Urban intersections, especially grade crossings, are bottlenecks of city road, as well as the locations with more traffic accidents. The characteristics of traffic conflict are large sample and easy observation. Traffic conflict is used to evaluate the intersection safety. For the two-phase signalized intersection, the main type of intersection conflict is the conflict between turn left and opposite direct. In order to evaluate the influence of turn-left and opposite direct traffic volume on signalized intersection, a Vissim simulation experiment was made for imitating the traffic flow condition on a two-phase signalized intersection. We achieved the trajectory data by changing the traffic volume. Based on traffic conflict technique, a generalized linear traffic conflict prediction model was established, and then the prediction traffic conflict was used to evaluate the signalized intersection safety level. By analyzing the conflict of Sidaokou, a two-phase signalized intersection in Haidian District, Beijing, we found that this model can effectively provide the prediction traffic conflict to evaluate intersection safety status.

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Available abstract

Urban intersections, especially grade crossings, are bottlenecks of city road, as well as the locations with more traffic accidents. The characteristics of traffic conflict are large sample and easy observation. Traffic conflict is used to evaluate the intersection safety. For the two-phase signalized intersection, the main type of intersection conflict is the conflict between turn left and opposite direct. In order to evaluate the influence of turn-left and opposite direct traffic volume on signalized intersection, a Vissim simulation experiment was made for imitating the traffic flow condition on a two-phase signalized intersection. We achieved the trajectory data by changing the traffic volume. Based on traffic conflict technique, a generalized linear traffic conflict prediction model was established, and then the prediction traffic conflict was used to evaluate the signalized intersection safety level. By analyzing the conflict of Sidaokou, a two-phase signalized intersection in Haidian District, Beijing, we found that this model can effectively provide the prediction traffic conflict to evaluate intersection safety status.

Key concepts: Intersection (aeronautics), Traffic conflict, VisSim, Traffic flow (computer networking), Transport engineering, Traffic volume, Computer science, Beijing

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