Open-Ecosystem Data-Driven Transit Analytics Framework
The Open-Ecosystem Data-Driven Transit Analytics project focuses on advancing efficiency in multimodal transportation systems by addressing key technical and operational challenges through a data-driven, multi-faceted approach. This initiative aims to establish an open-specification data hub that integrates multimodal transportation data, including road networks, connected vehicle waypoint data, transit schedules, ridership demand patterns, and real-time GPS data from transit systems. The data hub will use the General Modeling Network Specification (GMNS) from FHWA and US DOT Volpe Center to ensure seamless data standardization across various transportation modes while supporting interoperability with existing tools like OSM2GMNS. In addition, the system will feature user-friendly dashboards to visualize mobility trends, congestion patterns, and performance metrics. These dashboards will serve as essential tools for policymakers, urban planners, and traffic management centers, particularly for managing egress and special events—such as those in downtown Phoenix.
Another key component of this project is the development of decision-making tools that enable data-driven based transit planning. These tools will incorporate dynamic scenario modeling to simulate multimodal networks under various conditions, such as peak-hour congestion, special event management and ridership recovery. Performance metrics will provide detailed analyses of travel time, and service reliability, ensuring transit agencies can make informed resource allocation decisions. Real-time decision support will facilitate adaptive responses to city-level disruptions and demand fluctuations using predictive modeling techniques.
Furthermore, this project will conduct in-depth system analysis and modeling to assess how transportation networks affect travelers. The research will involve developing service efficiency metrics to measure transit availability, affordability, and reliability. A network performance assessment will examine how transit services are distributed across urban and rural areas, while a historical analysis will evaluate how past policies have shaped current mobility patterns. Engaging with community stakeholders through workshops and surveys will help align proposed solutions with the needs of various regions, ultimately guiding data-driven transit strategies.
As part of the Open-Ecosystem Transit Analytics Framework, a targeted research initiative will focus on light rail and bus operations, especially under conditions of construction and disruption, in key Arizona cities including the City of Phoenix, City of Mesa, City of Chandler, and the City of Yuma. These large and small urban areas are experiencing growing multimodal transportation needs and increasing construction activities, prompting the need for robust, data-driven tools to support real-time response, proactive planning, and sustained accessibility for both transit riders and general traffic. Specific disruption management strategies include (1) developing real-time monitoring and response tools to manage construction-related disruptions to light rail and bus services, enabling timely adjustments and clear communication with travelers; (2) leveraging Connected Vehicle Data (CVD) to assess impacts on arterials and support dynamic routing; (3) creating integrated rerouting strategies for buses and general traffic to minimize delays and maintain transit accessibility, with tailored approaches for each city’s unique network.
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