The cellular traffic capacity model of toll station square

Yuning Bai; Kaixuan Wang; Lei Yi; Bo Peng

doi:10.5604/01.3001.0053.7075

Authors

Yuning Bai Ningxia Jiaotou Expressway Management Co., Ltd. Yinchuan Author https://orcid.org/0009-0003-8929-3144
Kaixuan Wang School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing Author https://orcid.org/0009-0004-3615-4703
Lei Yi School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing Author https://orcid.org/0009-0006-2185-1439
Bo Peng Ningxia Jiaotou Expressway Management Co., Ltd. Yinchuan Author https://orcid.org/0009-0002-7091-4855

DOI:

https://doi.org/10.5604/01.3001.0053.7075

Keywords:

highway toll station, traffic capacity, microscopic simulation, toll plaza

Abstract

Traffic capacity is an important index to measure the operation efficiency of expressway toll stations. In order to provide relevant theoretical support for accurately evaluating the congestion degree and service level of toll stations, this paper establishes a traffic capacity calculation model for the square in front of expressway toll stations based on the traditional cellular transmission method. Firstly, by dividing the square in front of the station into regular cells, the process of calculating the traffic capacity is simplified; Secondly, the capacity model of the square in front of the station is established based on cellular transmission, and a large amount of data is collected through the monitoring videos of several toll stations. The theoretical capacity of the square in front of the station is calculated by using the important parameters of the model calibrated by the measured data under different lengths of the square in front of the station and the configuration of toll lanes. Then, the simulation platform of VISSIM software is used, and many experiments are carried out with relevant measured data to verify the accuracy of the model in multiple scenarios. Finally, the simulation value of the capacity of the square in front of the station is obtained, and the error is calculated by using the simulation value and the calculation value. The results show that the error of the verification result is 5.19%, and the error is within the allowable range, which shows that the model is accurate and feasible. The theoretical capacity calculated by the capacity model of the square in front of the toll station established in this paper is compared with the actual capacity, which can be used as a standard to judge the congestion degree of the square in front of the toll station and further provide a theoretical reference for evacuation of congestion.

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