Modeling of Car-Following Behavior on Urban Underground Expressways Based on Data-Driven Methods

被引：0
|
作者：
Zhang L. [1 ]
Zhu P. [1 ]
Yang M. [2 ]
Wang S. [1 ]
Shi J. [1 ]
机构：
[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai
[2] Road and Bridge Design Institute, Shanghai Urban Construction Design and Research Institute, Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2021年 / 49卷 / 05期
关键词：
Car-following behavior; Driving behavior constraints; Driving simulation; Support vector regression(SVR); Underground expressway;
D O I：
10.11908/j.issn.0253-374x.20301
中图分类号：
学科分类号：
摘要：
In order to reveal the operational characteristics of traffic flow on underground expressways, a car-following model based on the data-driven method was proposed by using the high-precision vehicle trajectory data obtained by driving simulator, and was calibrated and verified. First, the driving simulation experiment was conducted according to the scenario model of the east section of the North Cross Passage in Shanghai to obtain the car-following data. Next, the support vector regression (SVR) method was selected to establish the car-following model, into which the driving behavior constraints were introduced. Finally, the improved SVR-based car-following model was calibrated and verified by using the experimental data. The results show that the support-vector-regression-based car-following model considering driving behavior constraints can well describe the car-following behavior on underground expressways. The model possesses a great transplantability, which has a high accuracy on other underground expressways. The car-following model proposed in this paper can quantitatively analyze the interaction of vehicles on underground expressways, and provide the basis for traffic simulation and risk research. © 2021, Editorial Department of Journal of Tongji University. All right reserved.
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页码：661 / 669
页数：8
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