The application of floating car detection technology is one of the basic data collection methods for the traffic information system. The quality of data from floating car detection is affected by many factors, including the floating car sample quantity, distribution, the sampling period, the way to divide road and data cleaning method. These factors are crucial for the reliability of collected data. Data collected by floating car technology is comprehensive and flexible, including travel time, speed, distance, queue length and other parameters, of which the application of travel time is the most common. Besides, incident detection through the integrated use of multiple traffic parameters is efficient to improve the level of traffic management.


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    Title :

    Review of Traffic State Evaluation Index Calculation Method Based on Floating Cars


    Contributors:
    Jin, Hui (author) / Zhang, Linan (author)

    Conference:

    14th COTA International Conference of Transportation Professionals ; 2014 ; Changsha, China


    Published in:

    CICTP 2014 ; 574-583


    Publication date :

    2014-06-24




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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