NDLI: Urban traffic signal control network automatic partitioning using laplacian eigenvectors

Content Provider	IEEE Xplore Digital Library
Author	Ying-Ying Ma Yi-Chang Chiu Xiao-Guang Yang
Copyright Year	2009
Description	Author affiliation: Department of Civil Engineering and Engineering Mechanics, The University of Arizona, Tucson, USA (Yi-Chang Chiu) \|\| Department of Traffic Engineering, Tongji University, Shanghai, China (Ying-Ying Ma; Xiao-Guang Yang)
Abstract	Many existing traffic signal control systems are of a hierarchical structure employing the concept of subsystems or sub-zone signal control. Therefore, network partitioning becomes an important task of such an urban traffic signal control system. However, urban traffic signal control network partitioning is a multi-objective and multi-constraint problem, which has been shown to be a NP-hard problem. This paper presents a partitioning method using the spectral methodology according to the correlation degree of each link. Two measures are adopted in this problem: modularity and average cut weight. The developed method has been tested on two networks, including a computergenerated network and real-world road network. The results show that the spectral bisection is a reasonable network partitioning method to support urban traffic signal control.
Starting Page	1
Ending Page	5
File Size	457095
Page Count	5
File Format	PDF
ISBN	9781424455195
DOI	10.1109/ITSC.2009.5309560
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Communication system traffic control Automatic control Laplace equations Control systems Computer networks Intelligent transportation systems USA Councils Intelligent networks Intelligent structures Civil engineering spectral bisection Urban Traffic Signal Control network partitioning
Content Type	Text
Resource Type	Article

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