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Double-layer speed optimization for reducing fuel consumption with vehicle-to-infrastructure communication.
- Source :
-
Journal of Intelligent Transportation Systems . 2019, Vol. 23 Issue 5, p513-524. 12p. - Publication Year :
- 2019
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15472450
- Volume :
- 23
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Journal of Intelligent Transportation Systems
- Publication Type :
- Academic Journal
- Accession number :
- 138139174
- Full Text :
- https://doi.org/10.1080/15472450.2019.1578565