Traditional target signalized intersections assume that the arrival of vehicles on the shared lane for left turns and straight traffic is Poisson's, meaning that the home of vehicles is independent and arrives one by one. But according to the actual road network, it is found that multiple vehicles always arrive at the signalized intersection together. Therefore, in response to the permissible phase of left turn traffic flow at intersections, this paper establishes a left turn traffic queueing model with a Markov arrival process and vacation, and uses matrix analysis techniques to evaluate the traffic performance of left turn vehicles at intersections. This model considers many factors, including the demand for direct traffic and the demand for vehicles within shared lanes. By conducting numerical experiments on these factors, we aim to obtain the queueing process of vehicles at signalized intersections that dynamically change with the cycle under different factors. Combine the obtained experimental results with the intersections in the actual road network to optimize the left turn queueing problem and reduce traffic congestion.


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    Title :

    Permissive left turn traffic flow queuing model at signalized intersections


    Contributors:
    Yao, Xinwei (editor) / Kumar, Neeraj (editor) / Wei, Linyan (author) / Liu, Hualing (author)

    Conference:

    Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024) ; 2024 ; Beijin, China


    Published in:

    Proc. SPIE ; 13160


    Publication date :

    2024-05-16





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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