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Vehicle actuation based short-term traffic flow prediction model for signalized intersections

Journal of Central South University 2012年第1期19卷 287-298页

作者： SUN Jian ZHANG Lun Transportation Research Center School of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Transportation Engineering Tongji UniversityShanghai 201804China

Traffic flow prediction is an important component for real-time traffic-adaptive signal control in urban arterial *** exploring available detector and signal controller information from neighboring intersections,a dynamic data-driven flow prediction model was *** model consists of two prediction components based on the signal states(red or green) for each movement at an upstream *** characteristics of each signal state were carefully examined and the corresponding travel time from the upstream intersection to the approach in question at the downstream intersection was *** an online turning proportion estimation method,along with the predicted travel times,the anticipated vehicle arrivals can be forecasted at the downstream *** model performance was tested at a set of two signalized intersections located in the city of Gainesville,Florida,USA,using the CORSIM microscopic simulation *** results show that the model agrees well with empirical arrival data measured at 10 s intervals within an acceptable range of 10%-20%,and show a normal *** is reasonably believed that the model has potential applicability for use in truly proactive real-time traffic adaptive signal control systems.

关键词： adaptive signal control least-squared estimation microscopic simulation travel flow prediction urban arterials

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