Abstract For now, traffic safety and traffic congestion are two difficult problems which freeway traffic management must deal with. And there are so many factors influencing highway traffic, in which some factors are characterized as dynamic, such as traffic stream characteristics, weather conditions, road environmental illumination, and so on. Considering weather conditions, road conditions, and traffic conditions, an evaluation index system is established. And based on the index system, real-time traffic safety level and traffic congestion level are evaluated using fuzzy theory and neural network. Then the highway mainline fuzzy logic control method is proposed based on dynamic traffic evaluation results, which will improve the safety of freeway traffic and alleviate the traffic congestion of freeway through balancing traffic flow on freeway.


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    Title :

    Research on Freeway Mainline Fuzzy Logic Control Based on Dynamic Traffic Evaluation


    Contributors:
    Zhao, Sheng (author) / Liu, Weiming (author) / Wen, Huiying (author) / Qi, Weiwei (author)


    Publication date :

    2019-01-01


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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