International Conference on Transportation and Development 2020
Before-After Study of Signal Timing Improvement Using Crowd-Sourced Data: A Case Study of Omaha
Publication: International Conference on Transportation and Development 2020
ABSTRACT
Traffic signals are typically retimed to accommodate traffic conditions during a period of observation. A set of robust measures are needed to determine the effectiveness of signal improvement technique. The present study utilizes five such measures developed in previous research: median travel rate, within-day variability of travel rate, median travel rate dispersion, and overall travel rate variability to evaluate the effectiveness of signal improvement. Cumulative distribution function plots are constructed initially using travel rate, which is used to identify the atypical days. The atypical days, representation of variable travel rate reduced for 67% of the segments suggesting an improvement of travel time variability. These atypical days are removed, followed by an evaluation to assess the change of travel rate and its variability. The within-day variability was the only parameter that improved significantly. A statistical measure on weekly measures stated that there were few segments with actual change in before-after condition.
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Information & Authors
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Published In
International Conference on Transportation and Development 2020
Pages: 270 - 279
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8315-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 31, 2020
Published in print: Aug 31, 2020
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