A car following model considering driver memory effect in intelligent transportation environment

Jiacheng Xiao; Yuxing Yin; Yanzun Zhang

doi:10.1117/12.3024023

14 February 2024 A car following model considering driver memory effect in intelligent transportation environment

Jiacheng Xiao, Yuxing Yin, Yanzun Zhang

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130180R (2024) https://doi.org/10.1117/12.3024023
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

This paper builds a car following model in an intelligent transportation environment in order to thoroughly consider the driver's own characteristics and the impact of the environment on the stability of the traffic flow, taking into account the driver's memory effect and multi-vehicle information. According to the model's stability analysis and numerical simulation findings, the stability zone will grow as the driver memory effect lessens and more vehicle data is taken into account, while the amplitude of traffic flow density will steadily decrease. This implies that traffic congestion can be reduced while the consistency of traffic flow would be enhanced.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiacheng Xiao, Yuxing Yin, and Yanzun Zhang "A car following model considering driver memory effect in intelligent transportation environment", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130180R (14 February 2024); https://doi.org/10.1117/12.3024023

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