Campus Units

Aerospace Engineering, Civil, Construction and Environmental Engineering, Institute for Transportation

Document Type

Conference Proceeding

Conference

2018 American Control Conference

Publication Version

Accepted Manuscript

Link to Published Version

https://doi.org/10.23919/ACC.2018.8431704

Publication Date

2018

Journal or Book Title

2018 Annual American Control Conference (ACC)

First Page

4983

Last Page

4988

Research Focus Area

Transportation Engineering

DOI

10.23919/ACC.2018.8431704

Conference Title

2018 American Control Conference

Conference Date

June 27-29, 2018

City

Milwaukee, WI

Abstract

This article examines the hybrid traffic control problem to minimize total travel time (TTT) of a highway network through traffic management infrastructures, including dynamic speed limit signs, ramp metering, and information board.We first build the traffic flow model based on the Moskowitz function for each highway link to predict traffic status within a control horizon. The traffic density is predicted based on the flow dynamic model and corrected periodically by measured traffic flow data. The minimum TTT traffic control problem is then formulated as a mixed-integer quadratic programming problem with quadratic constraints. Numerical simulation of a real world highway network is provided to demonstrate significant reduction of TTT and alleviation of traffic congestion compared to results obtained from ALINEA and PI-ALINEA methods.

Comments

This is a manuscript of a proceeding published as Zu, Yue, Chenhui Liu, Ran Dai, and Anuj Sharma. "Hybrid Optimal Control for Time-Efficient Highway Traffic Management." In 2018 Annual American Control Conference (ACC), (2018): 4983-4988. DOI: 10.23919/ACC.2018.8431704. Posted with permission.

Rights

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

Published Version

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