@inproceedings{be634f77f54f4c12b9bde6edb6cf0d2d,
title = "Traffic Conflict Analysis at Freeway Interchange Merging Areas: A Joint Model Based on Tobit and Survival Analysis Model",
abstract = "Freeway interchange merging areas suffer from high crash risk due to the frequent lane change behaviors, which bring disturbance to transverse and longitudinal traffic flow. This paper proposes a joint model based on the tobit and survival analysis model to explore the relationship between vehicles{\textquoteright} merging behavior and their traffic conflicts, and to investigate the influencing factors. The trajectory data from Maqun interchange, Nanjing, is used for analysis. The tobit method is applied to model the merging traffic conflict rate, and the survival analysis method is used to model the merging duration of vehicles. Traditional traffic conflict counting models are developed for comparison. The results show that the joint model outperforms other models and there exists coupling relationship between the merging duration and the conflict rate. The speed of the following vehicle in the target lane and the type of lead vehicle in the target lane have significant effects.",
author = "Xin Gu and Yi Yang and Yunxuan Li and Zhengbing He and Yanyan Chen",
note = "Publisher Copyright: {\textcopyright} ASCE.; 23rd COTA International Conference of Transportation Professionals: Innovation-Empowered Technology for Sustainable, Intelligent, Decarbonized, and Connected Transportation, CICTP 2023 ; Conference date: 14-07-2023 Through 17-07-2023",
year = "2023",
doi = "10.1061/9780784484869.154",
language = "English",
series = "CICTP 2023: Innovation-Empowered Technology for Sustainable, Intelligent, Decarbonized, and Connected Transportation - Proceedings of the 23rd COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "1615--1625",
editor = "Yanyan Chen and Jianming Ma and Guohui Zhang and Haizhong Wang and Lijun Sun and Zhengbing He",
booktitle = "CICTP 2023",
address = "United States",
}