Development of real-time simulation-based decision support system for weather responsive traffic signal operations

Kim, Jiwon, Mahmassani, Hani S., Hou, Tian and Alfelor, Roemer M. (2014). Development of real-time simulation-based decision support system for weather responsive traffic signal operations. In: 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, (810-815). 8-11 October 2014. doi:10.1109/ITSC.2014.6957789


Author Kim, Jiwon
Mahmassani, Hani S.
Hou, Tian
Alfelor, Roemer M.
Title of paper Development of real-time simulation-based decision support system for weather responsive traffic signal operations
Conference name 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Conference location Qingdao, China
Conference dates 8-11 October 2014
Convener IEEE
Proceedings title 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2014
Year available 2014
Sub-type Fully published paper
DOI 10.1109/ITSC.2014.6957789
Open Access Status Not Open Access
Start page 810
End page 815
Total pages 6
Language eng
Abstract/Summary This paper presents a framework and methodology for integrating real-time Traffic Estimation and Prediction Systems (TrEPS) into weather-responsive traffic signal operations in Utah, USA. This study is motivated by the need for adjusting signal timing plans in response to changing traffic conditions during inclement weather in order to mitigate the impact of weather and maintain the network service level. This study provides a real-world application demonstrating that such a need can be effectively assisted by a TrEPS-based decision support system. Three components are introduced to form the overall decision support system: real-time TrEPS, Scenario Manager, and Scenario Library. Real-time TrEPS offers the capability to estimate and predict network states under various control scenarios; Scenario Manager provides an environment to identify and evaluate alternative signal control strategies based on TrEPS-predicted network states; and Scenario Library serves as a knowledge base defining available weather-responsive signal timing plans for Scenario Manager to access in real-time. The detailed implementation procedure and expected benefits of the proposed system are illustrated and discussed using a case study based on a historical snow event.
Keyword Assignment
Real-time simulation-based decision support system
Traffic Estimation and Prediction Systems (TrEPS)
Weather-responsive traffic signal operations
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: School of Civil Engineering Publications
 
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