Implementation and evaluation of weather-responsive traffic management strategies

Kim, Jiwon, Mahmassani, Hani S., Alfelor, Roemer, Chen, Ying, Hou, Tian, Jiang, Lan, Saberi, Meead, Verbas, Oemer and Zockaie, Ali (2013) Implementation and evaluation of weather-responsive traffic management strategies. Transportation Research Record, 2396: 93-106. doi:10.3141/2396-11

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Author Kim, Jiwon
Mahmassani, Hani S.
Alfelor, Roemer
Chen, Ying
Hou, Tian
Jiang, Lan
Saberi, Meead
Verbas, Oemer
Zockaie, Ali
Title Implementation and evaluation of weather-responsive traffic management strategies
Journal name Transportation Research Record   Check publisher's open access policy
ISSN 0361-1981
Publication date 2013-12-01
Year available 2013
Sub-type Article (original research)
DOI 10.3141/2396-11
Open Access Status File (Publisher version)
Issue 2396
Start page 93
End page 106
Total pages 14
Place of publication Washington, DC, United States
Publisher U.S. National Research Council, Transportation Research Board
Language eng
Formatted abstract
This study presents the development and application of methodologies to support weather-responsive traffic management (WRTM) strategies by building on traffic estimation and prediction system models. First, a systematic framework for implementing and evaluating WRTM strategies under severe weather conditions is developed. This framework includes activities for planning, preparing, and deploying WRTM strategies in three different time frames: long-term strategic planning, short-term tactical planning, and real-time traffic management center operations. Next, the evaluation of various strategies is demonstrated with locally calibrated network simulation-assignment model capabilities, and special-purpose key performance indicators are introduced. Three types of WRTM strategies [demand management, advisory and control variable message signs (VMSs), and incident management VMSs] are applied to multiple major U.S. areas, namely, Chicago, Illinois; Salt Lake City, Utah; and the Long Island area in New York. The analysis results illustrate the benefits of WRTM under inclement weather conditions and emphasize the importance of incorporating a predictive capability into selecting and deploying WRTM strategies.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Civil Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
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Created: Fri, 24 Oct 2014, 20:39:20 EST by Jiwon Kim on behalf of School of Civil Engineering