An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization
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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2020/8822117 |
id |
doaj-f58165ec9f73487eb30cbae49c177491 |
---|---|
record_format |
Article |
spelling |
doaj-f58165ec9f73487eb30cbae49c1774912020-11-25T03:26:31ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88221178822117An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm OptimizationZhizhou Wu0Zhibo Gao1Wei Hao2Jiaqi Ma3The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Jiading, Shanghai 201804, ChinaThe Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Jiading, Shanghai 201804, ChinaCollege of Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaDepartment of Civil and Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati, OH 45221, USAMost 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.http://dx.doi.org/10.1155/2020/8822117 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhizhou Wu Zhibo Gao Wei Hao Jiaqi Ma |
spellingShingle |
Zhizhou Wu Zhibo Gao Wei Hao Jiaqi Ma An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization Journal of Advanced Transportation |
author_facet |
Zhizhou Wu Zhibo Gao Wei Hao Jiaqi Ma |
author_sort |
Zhizhou Wu |
title |
An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization |
title_short |
An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization |
title_full |
An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization |
title_fullStr |
An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization |
title_full_unstemmed |
An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization |
title_sort |
optimal longitudinal control strategy of platoons using improved particle swarm optimization |
publisher |
Hindawi-Wiley |
series |
Journal of Advanced Transportation |
issn |
0197-6729 2042-3195 |
publishDate |
2020-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2020/8822117 |
work_keys_str_mv |
AT zhizhouwu anoptimallongitudinalcontrolstrategyofplatoonsusingimprovedparticleswarmoptimization AT zhibogao anoptimallongitudinalcontrolstrategyofplatoonsusingimprovedparticleswarmoptimization AT weihao anoptimallongitudinalcontrolstrategyofplatoonsusingimprovedparticleswarmoptimization AT jiaqima anoptimallongitudinalcontrolstrategyofplatoonsusingimprovedparticleswarmoptimization AT zhizhouwu optimallongitudinalcontrolstrategyofplatoonsusingimprovedparticleswarmoptimization AT zhibogao optimallongitudinalcontrolstrategyofplatoonsusingimprovedparticleswarmoptimization AT weihao optimallongitudinalcontrolstrategyofplatoonsusingimprovedparticleswarmoptimization AT jiaqima optimallongitudinalcontrolstrategyofplatoonsusingimprovedparticleswarmoptimization |
_version_ |
1715214312897773568 |