National Operations Center of Excellence (NOCoE) provides updates on operational SPaT Challenge deployments in recorded Webinar #10.

Webinar details several operational SPaT deployments, with an emphasis on lessons learned and discussion that encompasses all stages from planning, procurement, installation, testing, and operations.

Date Posted
04/22/2019
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Identifier
2019-L00878

SPaT Challenge Webinar #10: Operational SPaT Deployments

Summary Information

The goal of the Signal Phase and Timing (SPaT) Challenge program is to challenge state and local public sector transportation infrastructure owners and operators (IOOs) to deploy DSRC infrastructure with SPaT (and MAP) broadcasts in at least one corridor or network (approximately 20 signalized intersections) in each state by January 2020. Updates on project planning, procurement, installation, testing, and operations are periodically posted on the NOCoE website with cooperation from the American Association of State Highway and Transportation Officials (AASHTO), the Institute of Transportation Engineers (ITE), and the Intelligent Transportation Society of America (ITSA) and the Federal Highway Administration (FHWA).

SPaT Challenge Webinar Series Webinar #10 included updates from Jianming Ma and Steve Chiu (Texas DOT), Cameron Mott (Southwest Research Institute), and Mike Mollenhauer (Virginia Tech Transportation Institute).

Lessons Learned

  • Temporary roadway configuration changes, such as, work zones, temporary traffic control, traffic incidents, and unplanned incidents can be challenging for Connected and Automated Vehicles to navigate. Solutions that allow CAVs to automatically detect changes in a roadway configuration should be supplemented with a standardized data solution to be safer and more effective.
  • If deploying applications that use DSRC to provide work zone and roadside worker support, workers must update the data constantly for the applications to be effective.
  • If deploying DSRC applications that require absolute lane-level positioning accuracy, an RTCM correction can be utilized to improve vehicle localization.