Articles | Volume 13, issue 2
https://doi.org/10.5194/ms-13-647-2022
https://doi.org/10.5194/ms-13-647-2022
Research article
 | 
21 Jul 2022
Research article |  | 21 Jul 2022

Research on adaptive speed control method of an autonomous vehicle passing a speed bump on the highway based on a genetic algorithm

Long Wang, Zhiyong Yang, Xiangdong Chen, Ruixiang Zhang, and Yu Zhou

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Cited articles

Deng, M., Wu, Z., Yao, Z., and Chen, Y.: Unmanned Aerial Vehicle Jamming Resource Scheduling Based on Parallel Genetic Algorithm with Elite Set, J. Electron. Inf. Techn., 44, 2158–2165, https://doi.org/10.11999/JEIT210349, 2022. 
Du, Y., Liu, C., and Li, Y.: Velocity Control Strategies to Improve Automated Vehicle Driving Comfort, IEEE Intell. Transp. Syst. Mag., 10, 8–18, https://doi.org/10.1109/MITS.2017.2776148, 2018. 
Gao, J. and Qi, X.: Study of Suspension Parameters Matching to Enhance Vehicle Ride Comfort on Bump Road, Shock. Vib., 2021, 1–20, https://doi.org/10.1155/2021/5806444, 2021. 
Gheibollahi, H. and Masih-Tehrani, M.: Optimal Speed Control Humps Design Based on Driver Comfort, Int. J. Automot. Mech. Eng., 18, 8941–8958, https://doi.org/10.15282/ijame.18.3.2021.08.0685, 2021. 
Guo, P. and Zhang, J.: Numerical model and multi-objective optimization analysis of vehicle vibration, J. Zhejiang Univ.-Sc. A., 18, 393–412, https://doi.org/10.1631/jzus.A1600124, 2017. 
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Short summary
The speed of autonomous vehicles will have a significant influence on the safety and comfort of driving. When the autonomous vehicle passes through the consecutive speed control humps, how to automatically select the most appropriate speed has become a practical research subject. The paper chooses the genetic algorithm to build a multi-objective optimization model and then designs and carries out the solution process of the multi-objective optimization problem for the vehicle.