Cumulative Travel-Time Responsive Real-Time Intersection Control Algorithm in the Connected Vehicle Environment
Publication: Journal of Transportation Engineering
Volume 139, Issue 10
Abstract
This paper presents a cumulative travel-time responsive (CTR) real-time intersection control algorithm that takes full advantage of connected vehicles (CVs). The potential benefits of the proposed CTR algorithm under varying imperfect CV market penetration rates and traffic congestion conditions were investigated. The core of the CTR algorithm is based on a stochastic state estimation technique utilizing Kalman filtering that is used in estimating the cumulative travel times under imperfect market penetration rates at every update interval. Comprehensive simulation experiments covering varying volume-to-capacity ratios and imperfect market penetration rates were performed at a hypothetical isolated intersection with two through lanes and a single left-turn lane at each approach. At 100% market penetration, the CTR algorithm improved the total delay time and average speed of the intersection by 34 and 36%, respectively, compared to an optimized actuated control. It was found that at least 30% market penetration rates are needed to realize the benefits of the CTR algorithm.
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Acknowledgments
This research was partially supported by the Connected Vehicle Infrastructure (CVI) University Transportation Center (UTC) and the National Research Foundation of Korea grant funded by the Korea government (MEST) (NRF-2010-0029451).
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 139 • Issue 10 • October 2013
Pages: 1020 - 1029
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Feb 1, 2012
Accepted: Jun 3, 2013
Published online: Jun 5, 2013
Published in print: Oct 1, 2013
Discussion open until: Nov 5, 2013
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