TY - JOUR
T1 - Online implementation and evaluation of weather-responsive coordinated signal timing operations
AU - Chen, Ying
AU - Mahmassani, Hani S.
AU - Hong, Zihan
AU - Hou, Tian
AU - Kim, Jiwon
AU - Halat, Hooram
AU - Alfelor, Roemer M.
N1 - Funding Information:
This paper is based in part on work funded by the U.S. Department of Transportation. The funding was provided to the Northwestern University Transportation Center (NUTC) through a subcontract with Leidos, Inc. The authors acknowledge the helpful comments on the overall project provided by Robert Haas of Science Applications International Corporation and Mark Taylor of the Utah Department of Transportation. The authors have benefited from the contribution to this general area of research of several current and former graduate student researchers at NUTC, including Meead Saberi and Ali Zockaie.
PY - 2015
Y1 - 2015
N2 - This paper presents the development and application of weather-responsive traffic management strategies and tools to support coordinated signal timing operations with traffic estimation and prediction system (TREPS) models. First, a systematic framework for implementing and evaluating traffic signal operations under severe weather conditions was developed, and activities for planning, preparing, and deploying signal operations were identified in real-time traffic management center (TMC) operations. Next, weather-responsive coordinated signal plans were designed and evaluated with the TREPS method and a locally calibrated network. Online implementation and evaluation was conducted in Salt Lake City, Utah-the first documented online application of TREPS to support coordinated signal operation in inclement weather. The analysis results confirm that the deployed TREPS, which is based on DYNASMART-X, is able to help TMC operators test appropriate signal timing plans proactively under different weather forecasts before deployment and is capable of using real-time measurements to improve the quality and accuracy of the system's estimations and future predictions through detectors and roadside sensor coverage.
AB - This paper presents the development and application of weather-responsive traffic management strategies and tools to support coordinated signal timing operations with traffic estimation and prediction system (TREPS) models. First, a systematic framework for implementing and evaluating traffic signal operations under severe weather conditions was developed, and activities for planning, preparing, and deploying signal operations were identified in real-time traffic management center (TMC) operations. Next, weather-responsive coordinated signal plans were designed and evaluated with the TREPS method and a locally calibrated network. Online implementation and evaluation was conducted in Salt Lake City, Utah-the first documented online application of TREPS to support coordinated signal operation in inclement weather. The analysis results confirm that the deployed TREPS, which is based on DYNASMART-X, is able to help TMC operators test appropriate signal timing plans proactively under different weather forecasts before deployment and is capable of using real-time measurements to improve the quality and accuracy of the system's estimations and future predictions through detectors and roadside sensor coverage.
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U2 - 10.3141/2488-08
DO - 10.3141/2488-08
M3 - Article
AN - SCOPUS:84975687515
SN - 0361-1981
VL - 2488
SP - 71
EP - 86
JO - Transportation Research Record
JF - Transportation Research Record
ER -