Signal optimization and coordination represent a cost-effective approach to mitigating congestion and improving traffic flow, obviating the need for expensive infrastructure upgrades or construction. By effectively optimizing traffic signals, delays, travel times, and stops experienced by drivers can be significantly reduced, resulting in decreased fuel consumption and improved safety. In addition to the immediate benefits of reduced congestion and improved traffic flow, signal optimization and coordination offer long-term advantages. Maximizing the efficiency of existing infrastructure can lead to substantial cost savings for local authorities and taxpayers, as it negates the need for costly construction projects. Furthermore, the optimization process aims to enhance overall transportation sustainability by promoting smoother traffic operations. As fuel consumption decreases due to minimized idling time at intersections, there will be a notable reduction in greenhouse gas emissions, contributing to the country's environmental objectives.
This study will employ 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, specifically Synchro® Studio (referred to as Synchro) and WaySync (formerly known as TranSync), 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 Miovision 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 extensive dataset will serve as the foundation for constructing an experimental design, enabling the evaluation of current traffic conditions and establishing a robust baseline for performance assessment.
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, such as Synchro, compare to those of emerging software like WaySync? 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. Moreover, it explores the potential for improving traffic flow and safety within the studied corridor. To ensure transparency and effective communication, the study's findings and recommendations will be presented to relevant stakeholders, including the local transportation department, city officials, and community representatives. They will also be drafted in the UTC final report and research brief. This collaborative approach aims to foster support and facilitate the seamless integration of the proposed optimizations into existing traffic management systems.
