Implementation and evaluation of weather-responsive traffic management strategies

Jiwon Kim, Hani S Mahmassani, Roemer Alfelor, Ying Chen, Tian Hou, Lan Jiang, Meead Saberi, Ömer Verbas, Ali Zockaie

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)93-106
Number of pages14
JournalTransportation Research Record
Issue number2396
DOIs
StatePublished - Dec 1 2013

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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