Abstract for presentation (Poster or Podium)
Intelligent Transportation Systems
Anna A. Zumbrun
Research Assistant
SUNY Polytechnic Institute
Rome, NY, United States
Anna A. Zumbrun
Research Assistant
SUNY Polytechnic Institute
Rome, NY, United States
Abolfazl Karimpour, n/a
Assistant Professor
SUNY Polytechnic Institute
Clinton, New York, United States
Abolfazl Karimpour, n/a
Assistant Professor
SUNY Polytechnic Institute
Clinton, New York, United States
James Fairchild, NA
Chief of Traffic Signal Engineering and Operations
Monroe County Department of Transportation
Rochester, New York, United States
Thomas D. Polech, P.E., CPESC, CPSWQ
Deputy Director of Transportation
Monroe County Department of Transportation
Rochester, NY, United States
Abolfazl Karimpour, n/a
Assistant Professor
SUNY Polytechnic Institute
Clinton, New York, United States
This study focuses on cost-effective signal optimization and coordination to alleviate congestion and enhance traffic flow without requiring extensive infrastructure upgrades. a comprehensive approach by leveraging multiple sources of traffic data and data-driven methodologies. It will integrate well-established and state-of-the-art signal timing tools, to effectively address the goals of signal optimization and coordination. These tools will be synergistically combined with advanced statistical modeling techniques to attain optimal coordination outcomes within the defined study corridor located in Monroe County. Leveraging the smart sensors recently acquired by the County, a comprehensive analysis will be conducted to assess the performance of each intersection and the study corridor as a whole and identify opportunities for enhancement. To ensure the credibility and accuracy of the study, data collection will be carried out systematically, capturing essential traffic parameters such as volume, speed, and flow patterns. This study aims to address three primary research questions: 1) What are the advantages and constraints associated with utilizing high-resolution signal controller event-based data for signal optimization in comparison to conventional data collection methods? 2) How do the functionalities and performance capabilities of established signal retiming software compare to those of emerging software? 3) Can we enhance intersection safety through the optimization of corridor efficiency? By addressing these research questions, this study seeks to provide valuable insights into the potential benefits of employing advanced data sources for signal optimization and the effectiveness of different signal retiming software options. In addition, it aims to streamline signal optimization and coordination methods for more efficient traffic management, benefiting both commuters and the environment.