DocumentCode :
2641969
Title :
A Ramp Queue Length Estimation Algorithm
Author :
Vigos, Georgios ; Papageorgiou, Markos ; Wang, Yibing
Author_Institution :
Dynamic Syst. & Simulation Lab., Tech. Univ. of Crete, Chania
fYear :
2006
fDate :
17-20 Sept. 2006
Firstpage :
418
Lastpage :
425
Abstract :
The number of vehicles included in a metered motorway ramp or an urban signalized link at any time is valuable information for real-time control. A Kalman filter is employed to produce reliable estimates of this quantity based on real-time measurements of flow and occupancy provided by three loop detectors. The resulting vehicle-count estimator is tested via microscopic simulation for a variety of metered ramp scenarios and traffic conditions. The simulation investigations indicate a robust estimation performance with low calibration effort needed, which facilitates easy applicability of the method
Keywords :
Kalman filters; estimation theory; road traffic; traffic control; Kalman filter; metered motorway ramp; microscopic simulation; ramp queue length estimation; real-time control; real-time measurement; robust estimation; urban signalized link; vehicle-count estimator; Control systems; Costs; Detectors; Estimation error; Fluid flow measurement; Microscopy; Space vehicles; Testing; Traffic control; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0093-7
Electronic_ISBN :
1-4244-0094-5
Type :
conf
DOI :
10.1109/ITSC.2006.1706777
Filename :
1706777
Link To Document :
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