Journal of System Simulation
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.
Recommended Citation
Rong, Fei; Fang, Liu; Guo, Xie; Xinhong, Hei; Li, Shasha; and Bo, Hu
(2020)
"GRU-Based Car-Following Behavior Simulation Model,"
Journal of System Simulation: Vol. 32:
Iss.
10, Article 3.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0438
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss10/3
First Page
1862
Revised Date
2020-07-03
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-FZ0438
Last Page
1873
CLC
U491
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.20-FZ0438
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