DocumentCode :
1869390
Title :
Quantification of Congestion in Signalized Intersection Based on Loop Detector Data
Author :
Yunteng, Lao ; Xiaoguang, Yang ; Zhen, Wu
Author_Institution :
Tongji Univ., Shanghai
fYear :
2007
fDate :
Sept. 30 2007-Oct. 3 2007
Firstpage :
904
Lastpage :
909
Abstract :
Most achieved quantification methods for congestion in traffic engineering are designed for the freeway. Those methods which use operational characteristics (e.g., delay, speed and occupation etc.) as quantification indexes are inconvenient to be used on signalized intersection, since these indexes usually have a large variance with the effected of many factors in intersections, such as traffic control and traffic design. This paper presents a concept, which combines traffic demand and traffic supply into a whole, to describe the congestion in signalized intersection based on loop detector data. Our method is convenient for the application, since it only needs volume data in stopline. Moreover this method is useful for the traffic control system and traffic guidance system. The quantification of congestion for the lane group, approach and intersection can provide useful information for the optimization of traffic control strategies, and provide forecasted traffic state information which can meet the users´ requirement in traffic system.
Keywords :
road traffic; traffic information systems; congestion quantification; freeway; loop detector data; signalized intersection; system; traffic control; traffic demand; traffic design; traffic engineering; traffic state information; traffic supply; Delay effects; Demand forecasting; Detectors; Fluid flow measurement; Intelligent transportation systems; Signal design; Time measurement; Traffic control; USA Councils; Velocity measurement; Capacity; Congestion Quantification; Signalized Intersection; Traffic Demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1396-6
Electronic_ISBN :
978-1-4244-1396-6
Type :
conf
DOI :
10.1109/ITSC.2007.4357736
Filename :
4357736
Link To Document :
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