Provided is a traffic signal timing optimization method based on a principal component analysis improvement genetic algorithm. The algorithm is provided by analyzing internal relation among the genetic algorithm, image processing and model recognition and can be used for solving various function optimization problems. By means of the algorithm, principal component analysis is conducted on population individuals to analyze design cross and a mutation operator. The mutation operator can avoid the cross position where ineffective cross may be generated easily according to similar genes of parent individuals counted by PCA, useless cross is reduced, and algorithm search efficiency is improved. The mutation operator conducts self-adaptation mutation probability adjustment according to the similar genes counted by PCA to protect the good mode and improve the local research efficiency of the algorithm. The algorithm is applied to single-crossing signal timing optimization. By means of testing comparison with the existing algorithm, the method improves algorithm generality and efficiency, effective timing time is acquired, and the number of the queuing vehicles in front of a crossing is reduced.


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    Title :

    Traffic signal timing optimization method based on principal component analysis improvement genetic algorithm


    Contributors:
    YANG XINWU (author) / ZHAO CHONG (author) / NIU WENJIE (author)

    Publication date :

    2015-07-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen






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