Impacts of variable message signs on en-route route choice behavior
Wenjing Zhao,
Zhuanglin Ma,
Kui Yang,
Helai Huang,
Fredrik Monsuur and
Jaeyoung Lee
Transportation Research Part A: Policy and Practice, 2020, vol. 139, issue C, 335-349
Abstract:
Variable message signs (VMS) have been widely applied to alleviate traffic congestion by providing spatiotemporal information related to traffic and network conditions to drivers. There is a debate on whether the VMS information would lead to the less-alleviation of congestion or congestion transfer to the adjacent roads in the different traffic congestion situations due to the inappropriate VMS information. Additionally, it is still unknown how to find a practically applicable method to design the most effective VMS information for drivers.
Keywords: Variable message signs (VMS); VMS contents; VMS formats; Route choice behavior; Decision tree via CHAID; Random-parameter logistic regression model (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965856420306674
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:139:y:2020:i:c:p:335-349
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.tra.2020.07.015
Access Statistics for this article
Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose
More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().