Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163854
Title: Travel time reliability in transportation networks: a review of methodological developments
Authors: Zang, Zhaoqi
Xu, Xiangdong
Qu, Kai
Chen, Ruiya
Chen, Anthony
Keywords: Engineering::Civil engineering
Issue Date: 2022
Source: Zang, Z., Xu, X., Qu, K., Chen, R. & Chen, A. (2022). Travel time reliability in transportation networks: a review of methodological developments. Transportation Research Part C: Emerging Technologies, 143, 103866-. https://dx.doi.org/10.1016/j.trc.2022.103866
Journal: Transportation Research Part C: Emerging Technologies
Abstract: The unavoidable travel time variability in transportation networks, resulted from the widespread supply side and demand side uncertainties, makes travel time reliability (TTR) be a common and core interest of all the stakeholders in transportation systems, including planners, travelers, service providers, and managers. This common and core interest stimulates extensive studies on modeling TTR. Researchers have developed a range of theories and models of TTR, many of which have been incorporated into transportation models, policies, and project appraisals. Adopting the network perspective, this paper aims to provide an integrated framework for reviewing the methodological developments of modeling TTR in transportation networks, including its characterization, evaluation and valuation, and traffic assignment. Specifically, the TTR characterization provides a whole picture of travel time distribution in transportation networks. TTR evaluation and TTR valuation (known as the value of reliability, VOR) simply and intuitively interpret abstract characterized TTR to be well understood by different stakeholders of transportation systems. TTR-based traffic assignment investigates the effects of TTR on the individual users travel behavior and consequently the collective network flow pattern. As the above three topics are mainly separately studied in different disciplines and research areas, the integrated framework allows us to better understand their relationships and may contribute to developing possible combinations of TTR modeling philosophy. Also, the network perspective enables to focus on common challenges of modeling TTR, especially the uncertainty propagation from the uncertainty sources to the TTR at spatial levels including link, route, and the entire network. Some directions for future research are discussed in the era of new data environment, applications, and emerging technologies.
URI: https://hdl.handle.net/10356/163854
ISSN: 0968-090X
DOI: 10.1016/j.trc.2022.103866
Rights: © 2022 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

Page view(s)

25
Updated on Jan 29, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.