Campus Units

Civil, Construction and Environmental Engineering, Aerospace Engineering

Document Type

Conference Proceeding

Conference

2018 American Control Conference

Publication Version

Submitted Manuscript

Publication Date

2018

Research Focus Area

Transportation Engineering

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 that will be published as Yue Zu, Chenhui Liu, Ran Dai and Anuj Sharma, "Hybrid Optimal Control for Time-Efficient Highway Traffic Management," 2018 American Control Conference. Milwaukee, WI, June 27-29, 2018. Posted with permission.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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