Traffic safety at high-speed intersections remains the dominant problem in traffic operations. Although advance detectors are used to detect arriving vehicles ahead of time, most detectors used in the field (inductive loops, microwave, etc.) provide only "point" detections for which control algorithms are developed according to the design speed. Because of variations in approaching speed, vehicle size, roadway and weather conditions, those control algorithms can only be effective for a certain portion of the arriving traffic that "fits" the assumed conditions. This research looks into the vehicle tracking capability of the IntelliDrive technology to obtain the instant vehicle position and speed data for the signal control system. In addition, the technology can incorporate and provide to the system other information such as vehicle type (size), roadway surface, and weather conditions. By using such input in real time, the signal system determines the green time extensions most needed to protect vehicles on the main road (and the minor approaches as well). Besides enhancing safety, this design also improves operational efficiency because unneeded green extensions can be avoided. The effectiveness of the proposed signal operation concept is evaluated and demonstrated in this paper through a test of its ability to reduce the probability of max-out in comparison with other existing methods.


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    Titel :

    Enhance Traffic Safety at High-Speed Intersections through Vehicle Tracking


    Beteiligte:
    Wang, Baoji (Autor:in) / Yi, Ping (Autor:in)

    Kongress:

    Tenth International Conference of Chinese Transportation Professionals (ICCTP) ; 2010 ; Beijing, China


    Erschienen in:

    ICCTP 2010 ; 2438-2445


    Erscheinungsdatum :

    2010-07-22




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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