Utilizing Cooperative Automated Transportation (CAT) Data to Enhance the Use of Freeway Operational Strategies

The application of new technologies in traffic operations and management began more than fifty years ago, with the introduction of digital computers. Continuous developments in computer technology, emerging sources of data, and communications have created new opportunities for developing and evaluating the use of operational strategies and performance measures to improve freeway network safety and mobility. Traffic management systems (TMS) continue to evolve and are incorporating the collection and use of real-time information from fixed sources (e.g., loop detectors, radar, cameras), mobile sources (e.g., probes, smart phones), other systems (e.g., weather, pavement monitoring), and other sources (e.g., third party providers). The presence of Cooperative Automated Transportation (CAT) will provide public agencies with the opportunity to collect, use and share data among vehicles, infrastructure, and other devices to improve surface transportation safety and mobility. The data generated and shared in real-time between connected and automated vehicles (CAVs)—through Vehicle-to-Vehicle (V2V), the infrastructure (Vehicle-to-Infrastructure (V2I)—and connected mobile devices (devices-to-infrastructure or vehicles [D2X]) will provide agencies with information to improve how they actively manage traffic and travel. Furthermore, the ability for agencies to collect and use this information will potentially minimize the need to use data which is now collected by fixed sensors that are costly to acquire, install and maintain. The sharing and use of electronic messages between traffic management systems and CAVs could transform how agencies actively manage and operate traffic. The exchange of electronic messages beyond just a basic safety message (BSM) will afford agencies to share information based on current and projected conditions unique to a specific location (e.g., geo-fenced area), direction of travel, section of roadway, corridor, traveler advisories, operational strategies, or control plans. These capabilities will allow these systems to issue advisory, warning, and regulatory messages to specific vehicles or sections of roadway. Messages could also enhance the cooperative merging, lane changing, stopping, speed, lane use, or other actions or movements by CAVs and allow new operational strategies to be applied. The main objective of this research is to develop and demonstrate a process, framework and methodologies to develop, analyze, and integrate data and performance measures generated from electronic messages shared in a CAT environment to proactively manage and use operational strategies on freeway facilities. This research will include developing an example demonstrating how this process, framework and methodologies can be used to develop, evaluate and validate the use of an operational strategy, supporting algorithms and performance measures using data extracted from electronic messages for a range of events expected to occur on a section of freeway. This research will develop the operational scenarios, use cases, conditions, requirements, conditions, (e.g., varying levels of CAV market penetration, and spacing of ITS devices to collect information) to support the electronic messages a TMS would need to share and use. This research will address how these electronic messages, data elements, and performance measures generated could be combined with existing sources of data that are used to manage and use operational strategies on freeways. Finally, this research will also investigate the implications of where the capture, processing, or synthesizing of data extracted from electronic messages from CAT infrastructure (e.g., Roadside Units [RSU], Hub) will occur and be transmitted to a hub or TMS. The research will identify how all operational strategies used for freeways could change with the use of only CAV data or the fusion of these data with existing sources traffic management systems use. This project will prioritize the concept of operations, use cases, requirements, electronic messages, data elements, and performance measures that could support or augment existing or new algorithms to use in freeway operational strategies. The project will also assess the potential for modifying or developing new operational strategies based on the availability of CAT data and performance measures generated within a freeway network or region. The second phase of the project will develop, evaluate, and test using traffic simulation models and available CAT data, document, and publish algorithms to support the use of at least one operational strategy selected to use for a range of conditions on a freeway facility. This research will also identify the follow-on research projects that would pursue the development, proto-typing, field testing, acceptance (e.g., validation), publishing, and technology transfer (e.g., sharing of information, outreach material) to develop the performance measures and algorithms for the operational strategies tested.


  • English


  • Status: Proposed
  • Funding: $500000
  • Contract Numbers:

    Project 08-145

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Derr, B

  • Start Date: 20200520
  • Expected Completion Date: 0
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01739631
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 08-145
  • Files: TRB, RiP
  • Created Date: May 18 2020 3:06PM