DocumentCode :
3462039
Title :
An adaptive model for real-time estimation of overflow queues on congested arterials
Author :
Fu, Liping ; Hellinga, Bruce ; Zhu, Yongliang
Author_Institution :
Dept. of Civil Eng., Waterloo Univ., Ont., Canada
fYear :
2001
fDate :
2001
Firstpage :
219
Lastpage :
226
Abstract :
The ability to estimate the status of current traffic congestion of a road network is of significant importance for many Intelligent Transportation Systems (ITS) applications such as in-vehicle route guidance systems (RGS) and advanced traffic management systems (ATMS). Substantial research effort has been dedicated to developing accurate and reliable techniques for estimation of various congestion measures such as link travel time and average travel speed. Few reliable models have however been reported, especially for congested arterials. This paper presents a model that can be used to estimate one of the congestion measures, namely real-time overflow queue at signalized arterial approaches. The model is developed on the basis of the principle of flow conservation, assuming that time-varying traffic arrivals can be obtained from loop detectors located at signalized approaches and signal control information is available online. A conventional microscopic simulation model is used to generate data for evaluation of the proposed model. A variety of scenarios representing variation in traffic control, level of traffic congestion and data availability are simulated and analyzed. The evaluation results indicate that the proposed model is promising in terms of the accuracy it can provide and advantages it has over existing models
Keywords :
automated highways; parameter estimation; road traffic; Intelligent Transportation Systems; advanced traffic management systems; congestion measures; in-vehicle route guidance; overflow queue; road network; signalized arterial approaches; traffic conditions; traffic congestion; travel time; traveler information; Detectors; Intelligent networks; Intelligent transportation systems; Microscopy; Road transportation; Signal detection; Telecommunication traffic; Time measurement; Traffic control; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
Type :
conf
DOI :
10.1109/ITSC.2001.948659
Filename :
948659
Link To Document :
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