Energy-Efficient Cooperative Adaptive Cruise Control with Receding Horizon of Traffic, Route Topology, and Traffic Light Information

Advanced and cooperative vehicle (semi-) autonomous driving systems will become a necessity in the future for sustainable, convenient, and safe mobility. By utilizing Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, a vehicle’s energy consumption can be reduced while maintaining safety and driving comfort. A holistic control strategy is presented, which in a novel way incorporates traffic lights, road speed limits, gradients, and curvature, as well as surrounding traffic and detailed powertrain characteristics into a single Model Predictive Control formulation. The performance of the system is evaluated using a realistic co-simulation toolchain representing the vehicle, driver, and road, including complex traffic conditions. The approach is valid for a wide range of scenarios, ranging from urban city driving to highways. Simulation results for a D-class passenger car with a diesel engine and an automatic transmission in an urban route show energy savings between 5% and 30% with an unchanged travel time, compared to a simulated human driver.

  • Record URL:
  • Availability:
  • Supplemental Notes:
    • Abstract reprinted with permission of SAE International.
  • Authors:
    • Wikström, Niklas
    • Parrilla, Alejandro Ferreira
    • Jones, Stephen John
    • Grauers, Anders
  • Publication Date: 2019-5-16

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01712188
  • Record Type: Publication
  • Source Agency: SAE International
  • Report/Paper Numbers: 12-02-02-0006
  • Files: TRIS, SAE
  • Created Date: Jun 4 2019 11:30AM