Double-layer speed optimization for reducing fuel consumption with vehicle-to-infrastructure communication

Speed profiles affect fuel economy tremendously, especially, when vehicles running on an urban road with numerous signalized intersections. To improve fuel economy, in this study, the authors propose a double-layer speed optimization method with real-time computation that considers traffic signal information collected via vehicle-to-infrastructure communication and traffic conditions. In the first layer, the authors use a Dijkstra algorithm to optimize the average eco-speed between adjacent intersections with full-horizon traffic signal information, and in the second layer, they use an optimal control method to plan a real-time speed profile with average speed constraints. They conduct numerous field tests using a test bed and an experimental vehicle platform. The test results demonstrate that by computing optimal solutions in real time, the proposed double-layer speed optimization method has the potential to improve fuel economy and decrease trip time.

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    • © 2019 Taylor & Francis Group, LLC. Abstract reprinted with permission of Taylor & Francis.
  • Authors:
    • Xu, Biao
    • Chen, Xiaolong
    • Li, Keqiang
    • Hu, Manjiang
    • Bian, Yougang
    • Yu, Qianwen
    • Wang, Jianqiang
  • Publication Date: 2019-9


  • English

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  • Accession Number: 01718559
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 20 2019 3:01PM