As the special section of a highway, the tunnel driving environment is poor. Accidents occurring in highway tunnel typically have the characteristics of high damage and difficult transaction. Taking the Xue Gong-Ling highway tunnel as the example, this paper discuses combining the advanced technique of intelligent transportation system (ITS) used in accident prevention and evacuation strategies of long highway tunnels, and solves the evacuation problem of drivers, passengers and vehicles when accidents or dangers occur. Under the state detection of traffic flow and environment in or out of the highway tunnel, a corresponding prevention scheme was executed for accident prevention. Once a single point accident or fire occurs in the highway tunnel, the threshold value h was stetted, waiting time T and minimum (diffuse time between fire and induced vehicle appropriative crossing, h) were compared, the Inducement Strategy was executed based on comparable results. Due to the long length of a highway tunnel, once there were both accidents happening in the same time, combined with the single point accident inducement strategy, a corresponding prevention scheme was executed according to different positions of accidents. Type and characteristics of accidents being considered, traffic can be evacuated rapidly through open or close induced vehicle appropriative crossing and people appropriative crossing. As a result, secondary accidents were avoided and the safety of driver and passengers can be ensured. Based on tunnel impact and a control development flat-form, the guiding strategy is simulated showing that this guiding strategy is a good way of controlling and inducing.


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    Title :

    Accident Prevention and Inducement Strategy in Highway Tunnel


    Contributors:

    Conference:

    Ninth International Conference of Chinese Transportation Professionals (ICCTP) ; 2009 ; Harbin, China


    Published in:

    Publication date :

    2009-07-23




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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