An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization
Joint Authors
Wu, Zhizhou
Ma, Jiaqi
Hao, Wei
Gao, Zhibo
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-08
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Most existing longitudinal control strategies for connected and automated vehicles (CAVs) have unclear adaptability without scientific analysis regarding the key parameters of the control algorithm.
This paper presents an optimal longitudinal control strategy for a homogeneous CAV platoon.
First of all, the CAV platoon models with constant time-headway gap strategy and constant spacing gap strategy were, respectively, established based on the third-order linear vehicle dynamics model.
Then, a linear-quadratic optimal controller was designed considering the perspectives of driving safety, efficiency, and ride comfort with three performance indicators including vehicle gap error, relative speed, and desired acceleration.
An improved particle swarm optimization algorithm was used to optimize the weighting coefficients for the controller state and control variables.
Based on the Matlab/Simulink experimental simulation, the analysis results show that the proposed strategy can significantly reduce the gap error and relative speed and improve the flexibility and initiative of the platoon control strategy compared with the unoptimized strategies.
Sensitivity analysis was provided for communication lag and actuator lag in order to prove the applicability and effectiveness of this proposed strategy, which will achieve better distribution of system performance.
American Psychological Association (APA)
Wu, Zhizhou& Gao, Zhibo& Hao, Wei& Ma, Jiaqi. 2020. An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1176245
Modern Language Association (MLA)
Wu, Zhizhou…[et al.]. An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization. Journal of Advanced Transportation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1176245
American Medical Association (AMA)
Wu, Zhizhou& Gao, Zhibo& Hao, Wei& Ma, Jiaqi. An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1176245
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176245