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| Car-following Modeling and Analysis Considering Expected Visual Angle |
| CHEN Xiufeng, ZHAO Fengyang, WANG Chengxin, XIAO Yujie, GU Kexin
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| School of Civil Engineering, Qingdao University of Technology, Qingdao 266520, China |
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Abstract In order to explore the influence of driver visual angle on manual car-following decision-making, a car-following model considering the expected visual angle is proposed based on the visual angle model. Considering the vehicle width, speed and driver risk perception, the expected visual angle function is constructed, and the improved VA model is established by using the expected visual angle as the direct feedback control term. Newton iteration method is used to solve the condition of linear stability of traffic flow. Numerical simulation and parameter calibration verify the improvement effect of the model. The results show that the traffic flow stability of the model in this paper is higher than that of the VA model. Considering the expected visual angle and collision risk perception is beneficial to enhance the stability and safety of traffic flow and improve the fitting accuracy of the model.
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Received: 10 August 2023
Published: 09 October 2025
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