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Characterizing corridor-level travel time distributions based on stochastic flows and segment capacities


Abstract Trip travel time reliability is an important measure of transportation system performance and a key factor affecting travelers’ choices. This paper explores a method for estimating travel time distributions for corridors that contain multiple bottlenecks. A set of analytical equations are used to calculate the number of queued vehicles ahead of a probe vehicle and further capture many important factors affecting travel times: the prevailing congestion level, queue discharge rates at the bottlenecks, and flow rates associated with merges and diverges. Based on multiple random scenarios and a vector of arrival times, the lane-by-lane delay at each bottleneck along the corridor is recursively estimated to produce a route-level travel time dist... (more)
Created Date 2015-01-09
Contributor Lei, Hao (Author) / Zhou, Xuesong (ASU author) / List, George F. (Author) / Taylor, Jeffrey (Author) / Ira A. Fulton Schools of Engineering / School of Sustainable Engineering and the Built Environment
Series COGENT ENGINEERING
Type Text
Extent 24 pages
Language English
Identifier DOI: 10.1080/23311916.2014.990672 / ISSN: 2331-1916
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Citation Lei, H., Zhou, X., List, G. F., & Taylor, J. (2015). Characterizing corridor-level travel time distributions based on stochastic flows and segment capacities. Cogent Engineering, 2(1). doi:10.1080/23311916.2014.990672
Note The final version of this article, as published in Cogent Engineering, can be viewed online at: https://www.cogentoa.com/article/10.1080/23311916.2014.990672
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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