In conventional lane-based signal optimization models, lane markings guiding road users in making turns are optimized with traffic signal settings in a unified framework to maximize the overall intersection capacity or minimize the total delay. The spatial queue requirements of road lanes should be considered to avoid overdesigns of green durations. Point queue system adopted in the conventional lane-based framework causes overflow in practice. Based on the optimization results from the original lane-based designs, a refinement is proposed to enhance the lane-based settings to ensure that spatial holding limits of the approaching traffic lanes are not exceeded. A solution heuristic is developed to modify the green start times, green durations, and cycle length by considering the vehicle queuing patterns and physical holding capacities along the approaching traffic lanes. To show the effectiveness of this traffic signal refinement, a case study of one of the busiest and most complicated intersections in Hong Kong is given for demonstration. A site survey was conducted to collect existing traffic demand patterns and existing traffic signal settings in peak periods. Results show that the proposed refinement method is effective to ensure that all vehicle queue lengths satisfy spatial lane capacity limits, including short lanes, for daily operation.


    Access

    Download


    Export, share and cite



    Title :

    Refining Lane-Based Traffic Signal Settings to Satisfy Spatial Lane Length Requirements


    Contributors:
    Yanping Liu (author) / C. K. Wong (author)


    Publication date :

    2017




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Lane-Based Max-Pressure Traffic Signal Control

    Cheng, H. K. / Kou, K. P. / Wong, K. I. | IEEE | 2024



    TRAFFIC LANE DETECTOR AND TRAFFIC LANE DETECTION METHOD

    OKANO KENJI | European Patent Office | 2016

    Free access

    AUTONOMOUS-MODE TRAFFIC LANE SELECTION BASED ON TRAFFIC LANE CONGESTION LEVELS

    SHERONY RINI | European Patent Office | 2018

    Free access