DocumentCode :
3603212
Title :
Optimize the Settings of Variable Speed Limit System to Improve the Performance of Freeway Traffic
Author :
Huiyuan Liu ; Lihui Zhang ; Sun, Daniel ; Dianhai Wang
Author_Institution :
Dept. of Civil Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
Volume :
16
Issue :
6
fYear :
2015
Firstpage :
3249
Lastpage :
3257
Abstract :
This paper investigates variable speed limit (VSL) systems, trying to optimize the system designs when the variable message signs (VMSs) are movable. The optimization problem is formulated as a large mixed-integer nonlinear programming problem, whose decision variables include the number of VMSs to be deployed, the locations of the VMSs, and the speed limits posted on the VMSs. Two objectives are considered, one is to smooth the flow propagation, and the other is to minimize the environmental impact of freeway traffic. Moreover, a genetic algorithm is proposed to solve the complex problem. Numerical examples performed on a real freeway segment show that VSL can effectively achieve smooth flow and reduce the environmental impact of freeway traffic.
Keywords :
integer programming; nonlinear programming; road traffic; VMS; VSL system; decision variables; environmental impact; flow propagation; freeway traffic; mixed-integer nonlinear programming problem; variable message signs; variable speed limit system; Acceleration; Algorithm design and analysis; Computational modeling; Genetic algorithms; Mathematical model; Traffic control; Cell transmission model; environmental impact; genetic algorithm; location optimization; smooth flow; variable speed limit;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2015.2441373
Filename :
7128696
Link To Document :
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