TY - JOUR
T1 - Implementation and evaluation of weather-responsive traffic management strategies
AU - Kim, Jiwon
AU - Mahmassani, Hani S
AU - Alfelor, Roemer
AU - Chen, Ying
AU - Hou, Tian
AU - Jiang, Lan
AU - Saberi, Meead
AU - Verbas, Ömer
AU - Zockaie, Ali
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84897059845&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897059845&partnerID=8YFLogxK
U2 - 10.3141/2396-11
DO - 10.3141/2396-11
M3 - Article
AN - SCOPUS:84897059845
SN - 0361-1981
SP - 93
EP - 106
JO - Transportation Research Record
JF - Transportation Research Record
IS - 2396
ER -