Articles | Volume 13, issue 2
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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Subject: Dynamics and Control | Techniques and Approaches: Optimization
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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,, 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,, 2018. 
Gao, J. and Qi, X.: Study of Suspension Parameters Matching to Enhance Vehicle Ride Comfort on Bump Road, Shock. Vib., 2021, 1–20,, 2021. 
Gheibollahi, H. and Masih-Tehrani, M.: Optimal Speed Control Humps Design Based on Driver Comfort, Int. J. Automot. Mech. Eng., 18, 8941–8958,, 2021. 
Guo, P. and Zhang, J.: Numerical model and multi-objective optimization analysis of vehicle vibration, J. Zhejiang Univ.-Sc. A., 18, 393–412,, 2017. 
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.