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.


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    Title :

    Urban traffic signal control network automatic partitioning using laplacian eigenvectors


    Contributors:


    Publication date :

    2009-10-01


    Size :

    457095 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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