Existing freeway and signalized arterial street incident detection algorithms were investigated to determine their merit for use on urban arterial streets. Based on this investigation, a Kalman filtering algorithm was modified to recursively filter and update aggregate traffic flow and speed data to estimate true values. A test using measured arterial street data at a signalized intersection shows good tracking ability on these traffic variables over time. A test using data from an incident on an arterial street also confirmed that this algorithm has good potential for arterial street incident detection.


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    Title :

    Application of a Dynamic Model for Arterial Street Incident Detection


    Contributors:


    Publication date :

    1999-01-01


    Size :

    18 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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