Campus Units

Aerospace Engineering, Civil, Construction and Environmental Engineering

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

7-2018

Journal or Book Title

Transportation Research Part C: Emerging Technologies

Volume

92

First Page

119

Last Page

136

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.

Research Focus Area

Transportation Engineering

Comments

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.

Copyright Owner

Elsevier Ltd.

Language

en

File Format

application/pdf

Published Version

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