GRU-Based Car-Following Behavior Simulation Model

doi:10.16182/j.issn1004731x.joss.20-FZ0438

Abstract

Abstract: The accuracy of acceleration prediction can be effectively improved by the driver's memory in car-following behavior. A new car-following model based on the General Motors (GM) and the gate control unit (GRU) is proposed. The car-following data between small vehicles with similar driving behavior are obtained by data preprocessing. The established model is calibrated by the car-following data, and the optimal parameters and structure of the model are determined. According to car-following characteristics, the effectiveness of model is verified by simulation. It is confirmed that the model has high robustness and improved simulation accuracy comparing with the traditional models.

Key words: car-following, GM, GRU, SVR, actual road data

CLC Number:

U491

Fei Rong, Liu Fang, Xie Guo, Hei Xinhong, Li Shasha, Hu Bo. GRU-Based Car-Following Behavior Simulation Model[J]. Journal of System Simulation, 2020, 32(10): 1862-1873.

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