Article
Real-time energy-efficient traffic control via convex optimization
Transportation Research Part C: Emerging Technologies
Document Type
Article
Disciplines
Publication Version
Submitted Manuscript
Publication Date
7-1-2018
DOI
10.1016/j.trc.2018.04.017
Abstract
This article proposes a macroscopic traffic control strategy to reduce fuel consumption of vehicles on highways. By implementing Greenshields fundamental diagram, the solution to Moskowitz equations is expressed as linear functions with respect to vehicle inflow and outflow, which leads to generation of a linear traffic flow model. In addition, we build a quadratic cost function in terms of vehicle volume to estimate fuel consumption rate based on COPERT model. A convex quadratic optimization problem is then formulated to generate energy-efficient traffic control decisions in real-time. Simulation results demonstrate significant reduction of fuel consumption on testing highway sections under peak traffic demands of busy hours.
Copyright Owner
Elsevier Ltd.
Copyright Date
2018
Language
en
File Format
application/pdf
Citation Information
Yue Zu, Chenhui Liu, Ran Dai, Anuj Sharma, et al.. "Real-time energy-efficient traffic control via convex optimization" Transportation Research Part C: Emerging Technologies Vol. 92 (2018) p. 119 - 136 Available at: http://works.bepress.com/jing_dong/35/
This is a manuscript of article published as Zu, Yue, Chenhui Liu, Ran Dai, Anuj Sharma, and Jing Dong. "Real-time energy-efficient traffic control via convex optimization." Transportation Research Part C: Emerging Technologies 92 (2018): 119-136. DOI: 10.1016/j.trc.2018.04.017. Posted with permission.