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Double-layer speed optimization for reducing fuel consumption with vehicle-to-infrastructure communication
| 题名： | Double-layer speed optimization for reducing fuel consumption with vehicle-to-infrastructure communication |
| 正文语种： | 英文 |
| 作者： | Biao Xu, Xiaolong Chen, Keqiang Li, Manjiang Hu, Yougang Bian, Qianwen Yu; Jianqiang Wang |
| 作者单位： | State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China; The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China |
| 关键词： | Fuel economy; signalized intersection; speed optimization; vehicle-to-infrastructure communication |
| 摘要： | 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, we 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, we use a Dijkstra algorithm to optimize the average eco-speed between adjacent intersections with full-horizon traffic signal information, and in the second layer, we use an optimal control method to plan a real-time speed profile with average speed constraints. We 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. |
| 出版年： | 2019 |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 卷： | 23 |
| 期： | 5 |
| 页码： | 513-524 |
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