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.
Application of a Dynamic Model for Arterial Street Incident Detection
Journal of Intelligent Transportation Systems ; 5 , 1 ; 53-70
01.01.1999
18 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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