Double-layer speed optimization for reducing fuel consumption with vehicle-to-infrastructure communication. Issue 5 (3rd September 2019)

• Record Type: Journal Article
• Authors: Xu, Biao; Chen, Xiaolong; Li, Keqiang; Hu, Manjiang; Bian, Yougang; Yu, Qianwen; Wang, Jianqiang
• Is Part Of: Journal of intelligent transportation systems. Volume 23:Issue 5(2019)
• Page Start: 513
• Page End: 524
• Publication Date: 2019-09-03
• Subjects: Fuel economy -- signalized intersection -- speed optimization -- vehicle-to-infrastructure communication; Intelligent transportation systems -- Periodicals; Transportation -- Technological innovations -- Periodicals; 388.312
• DOI: 10.1080/15472450.2019.1578565
• Languages: English
• ISSNs: 1547-2450

Abstract

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.