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A Faster Cooperative Lane Change Controller Enabled by Formulating in Spatial Domain
  • Wang, Haoran ;
  • Hao, Wei ;
  • So, Jaehyun ;
  • Chen, Zhijun ;
  • Hu, Jia
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Publication Year
2023-12-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Transactions on Intelligent Vehicles, Vol.8, pp.4685-4695
Keyword
Cooperative lane-changemodel predictive controlmotion planningrelative spatial domain
Mesh Keyword
Aerospace electronicsCollisions avoidanceCooperative lane-changeLane changeModel-predictive controlMotion-planningRelative spatial domainRoadSpatial domainsSystem Dynamics
All Science Classification Codes (ASJC)
Automotive EngineeringControl and OptimizationArtificial Intelligence
Abstract
Lane-Change (LC) maneuvers are deemed to jeopardize traffic safety, mobility, and sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC process. This research proposes an optimal control based CLC controller. It bears the following features: i) with the faster completion of a CLC maneuver by making space and changing lane at the same time; ii) with less speed oscillation perturbations on traffic. To make space and change lane at the same time, a formulation method in the relative spatial domain is proposed. In this method, the conventional longitudinal and lateral coupled nonlinear avoidance constraints are linearized into a relative longitudinal distance fixed lateral-only avoidance constraint. Evaluations indicate that the proposed method enhances the completion efficiency of CLC by 15.67%, reduce traffic emission by 0.24%, reduce fuel consumption by 0.36%, and improve traffic stability by 47.9%.
ISSN
2379-8858
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33746
DOI
https://doi.org/10.1109/tiv.2023.3317957
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Article
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