Mixed platoon control of automated and human-driven vehicles at a signalized intersection: Dynamical analysis and optimal control

The emergence of Connected and Automated Vehicles (CAVs) promises better traffic mobility for future transportation systems. Existing research mostly focused on fully-autonomous scenarios, while the potential of CAV control at a mixed traffic intersection where human-driven vehicles (HDVs) also exist has been less explored. This paper proposes a notion of “1+n” mixed platoon, consisting of one leading CAV and n following HDVs, and formulates a platoon-based optimal control framework for CAV control at a signalized intersection. Based on the linearized dynamics model of the “1+n” mixed platoon, fundamental properties including stability and controllability are under rigorous theoretical analysis. Then, a constrained optimal control framework is established, aiming at improving the global traffic efficiency and fuel consumption at the intersection via direct control of the CAV. A hierarchical event-triggered algorithm is also designed for practical implementation of the optimal control method between adjacent mixed platoons when approaching the intersection. Extensive numerical simulations at multiple traffic volumes and market penetration rates validate the greater benefits of the mixed platoon based method, compared with traditional trajectory optimization methods for one single CAV.

• Record URL:
  https://doi.org/10.1016/j.trc.2021.103138
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X2100156X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Chen, Chaoyi
  • 0000-0002-2158-7969
  • Wang, Jiawei
  • 0000-0002-8844-4612
  • Xu, Qing
  • Wang, Jianqiang
  • Li, Keqiang
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: 103138
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 127
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Algorithms; Autonomous vehicles; Highway traffic control; Human beings; Market penetration; Motor vehicles; Optimization; Signalized intersections; Traffic platooning; Vehicle mix
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01775366
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 25 2021 6:35PM