A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection

The advancements in communication and sensing technologies can be exploited to assist the drivers in making better decisions. In this paper, the authors consider the design of a real-time cooperative eco-driving strategy for a group of vehicles with mixed automated vehicles (AVs) and human-driven vehicles (HVs). The lead vehicles in the platoon can receive the signal phase and timing information via vehicle-to-infrastructure (V2I) communication and the traffic states of both the preceding vehicle and current platoon via vehicle-to-vehicle (V2V) communication. The authors propose a receding horizon model predictive control (MPC) method to minimise the fuel consumption for platoons and drive the platoons to pass the intersection on a green phase. The method is then extended to dynamic platoon splitting and merging rules for cooperation among AVs and HVs in response to the high variation in urban traffic flow. Extensive simulation tests are also conducted to demonstrate the performance of the model in various conditions in the mixed traffic flow and different penetration rates of AVs. The authors' model shows that the cooperation between AVs and HVs can further smooth out the trajectory of the latter and reduce the fuel consumption of the entire traffic system, especially for the low penetration of AVs. It is noteworthy that the proposed model does not compromise the traffic efficiency and the driving comfort while achieving the eco-driving strategy.

• Record URL:
  https://doi.org/10.1016/j.trc.2018.05.025
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X18307423
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Zhao, Weiming
  • 0000-0002-0446-5636
  • Ngoduy, Dong
  • Shepherd, Simon
  • Liu, Ronghui
  • 0000-0003-0627-3184
  • Papageorgiou, Markos
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 802-821
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 95
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Car following; Driving; Ecodriving; Intelligent vehicles; Signalized intersections; Traffic flow; Traffic platooning; Vehicle mix; Vehicle to infrastructure communications; Vehicle to vehicle communications
• Uncontrolled Terms: Cooperative driving
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01676922
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 27 2018 1:27PM