NDLI: An adaptive model for real-time estimation of overflow queues on congested arterials

Content Provider	IEEE Xplore Digital Library
Author	Liping Fu Hellinga, B. Yongliang Zhu
Copyright Year	2001
Description	Author affiliation: Dept. of Civil Eng., Waterloo Univ., Ont., Canada (Liping Fu)
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.
Starting Page	219
Ending Page	226
File Size	671627
Page Count	8
File Format	PDF
ISBN	0780371941
DOI	10.1109/ITSC.2001.948659
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Telecommunication traffic Intelligent transportation systems Intelligent networks Road transportation Velocity measurement Time measurement Detectors Signal detection Microscopy
Content Type	Text
Resource Type	Article

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