Study on Queue Length in the Whole Process of a Traffic Accident in an Extra-Long Tunnel
Ruru Xing,
Xiaoyu Cai (),
Yuan Liu,
Zepeng Yang,
Yuting Wang and
Bo Peng
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Ruru Xing: College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
Xiaoyu Cai: College of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
Yuan Liu: College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
Zepeng Yang: College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
Yuting Wang: School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510275, China
Bo Peng: College of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
Mathematics, 2023, vol. 11, issue 8, 1-22
Abstract:
To investigate traffic accident patterns in undersea tunnels and quantify the relationship among various factors and traffic accidents in undersea tunnels, we analyzed the rules of evolution during the entire process of vehicle congestion queuing. Additionally, we built a maximum queue-length estimation model based on shock-wave theory and a whole-process queue-length estimation model based on real-time data input. The results demonstrate that the model is most precise when the data are not smoothed and the time interval is 30 s. The maximum accuracy of the model is not improved by data smoothing processing, but it is substantially improved when the time interval is between 5 and 15 s. Various movable window lengths have no discernible effect on the results. Maximum queue-length estimation model accuracy is 92.34%, while real-time whole-process queue-length estimation model accuracy is 83.50%. The accuracy of the proposed model is greater than that of the input–output model, indicating that the proposed model can support timely and reasonable control measures.
Keywords: extra-long tunnel; traffic accident; queue-length estimation; shock wave (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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