Model-Based Approach for Queue and Delay Estimation at Signalized Intersections with Erroneous Automated Data
Publication: Journal of Transportation Engineering
Volume 142, Issue 5
Abstract
A model-based scheme has been developed in this paper to estimate the number of vehicles in queue and the total delay, which are typical measures for characterizing a signalized intersection. The estimation was first carried out by using the input-output and queue accumulation polygon methods. These were evaluated by using data from two instrumented intersections in the city of Lincoln, Nebraska. However, the estimates did not agree well with the actual data primarily because of the errors in counts obtained from the automated detectors. Hence, an analysis of the characteristics of the errors was carried out. A model-based estimation approach using the Kalman filter was then developed. Suitable modifications were further applied to the estimation process by incorporating calibration constants for particular site/traffic conditions in the Kalman filter estimation scheme. The results obtained were promising, indicating that the scheme could be used for performance analysis of signalized intersections with automated detectors.
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Acknowledgments
The authors acknowledge the support provided by Indo-US Science and Technology Forum (IUSSTF), Government of India, under the grant IUSSTF/JC-Intelligent Transportation Systems//95-2010/2011-12. The authors also thank Evangeline Joyce and Arul Stephen of the University of Nebraska—Lincoln for their assistance in data extraction.
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Published In
Journal of Transportation Engineering
Volume 142 • Issue 5 • May 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: May 22, 2014
Accepted: Oct 30, 2015
Published online: Jan 27, 2016
Published in print: May 1, 2016
Discussion open until: Jun 27, 2016
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