Hybrid-Driven Car-Following Model Based on Improved Composite Network and IDM
Author:
Funder
Guangxi Natural Science Foundation
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-08901-1.pdf
Reference39 articles.
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3. Rong, Y.; Wen, H.: An extended delayed feedback control method for the two-lane traffic flow. Nonlinear Dyn. 94(4), 2479–2490 (2018). https://doi.org/10.1007/s11071-018-4504-7
4. Qiu, X.P.; Ma, L.N.; Zhou, X.X., et al.: The mixed traffic flow of manual-automated driving based on safety distance. J. Transp. Syst. Eng. Inf. Technol. 16(4), 101–108 (2016). https://doi.org/10.16097/j.cnki.1009-6744.2016.04.015
5. Jiang, H.T.; Chang, L.; Lou, Y.Q., et al.: Research on car-following model based on grey neural network. Microelectron. Comput. 35(2), 122–127 (2018). https://doi.org/10.19304/j.cnki.issn1000-7180.2018.02.0262016
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