Micro- and Macroapproach to Modeling Relationship between Control and Stopped Delays at Signalized Intersections
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 1
Abstract
Control delay, the most important measure of effectiveness at signalized intersections, is commonly estimated using analytical models due to the difficulty of field measurements. In analytical models, the uniform component of control delay is derived from an established ratio between control and stopped delays. The Highway Capacity Manual (HCM) delay model utilizes a unique stopped-to-control-delay () ratio of 0.76. In this paper, the modeling relationship between control and stopped delays is based on empirical data collected on 28 intersection approaches totaling 1,200 individual trajectories with stopped delay. Authors applied analysis on two different levels based on individual vehicle trajectories (microapproach) and on traffic flow (macroapproach). At the micro-level, the authors found a strong linear relationship between control and stopped delays, which exclusively depends on approach speed. It was also found that the average deceleration-acceleration delay of 12.8 s is greater than values cited in the literature. At the macro-level, it was found that the ratio varies from 0.49 to 0.86 depending on red time and approach speed. The authors concluded that unique ratio applied in the HCM delay model is not always appropriate for accurate delay estimation and suggested a modified model.
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Acknowledgments
This research was carried out within the Project TR36021, “The Effects of Global Challenges on Transportation Planning and Traffic Management in Cities,” financed by the Ministry of Education, Science and Technological Development of the Republic of Serbia.
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©2019 American Society of Civil Engineers.
History
Received: May 23, 2018
Accepted: May 31, 2019
Published online: Nov 13, 2019
Published in print: Jan 1, 2020
Discussion open until: Apr 13, 2020
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