Surtrac – AI enabled traffic signals

1) Sustainability problem: Vehicular idling and congestion in traffic stops. Area: Civic Engagement, Mobility. 

  • Idling in rush-hour traffic  costs the U.S. economy $121 billion a year, mostly due to lost productivity
  • It also produces about 25 billion kilograms of carbon dioxide emissions.
  •  In many urban areas, drivers spend 40 percent of their time idling in traffic.

2)  Technology

  • The Surtrac or Scalable Urban Traffic Control system relies on computerized traffic lights coordinating closely with each other. Radar sensors and cameras at each light detect traffic. Sophisticated AI algorithms use that data to build a timing plan that moves all the vehicles it knows about through the intersection in the most efficient way possible.
  • Each signal then sends the data to traffic intersections downstream so they can plan ahead and can avoid congestion.
  • Surtrac system is interoperable and can use DSRC technology for Vehicle to infrastructure communication, where street signals “talk” and rely data to smart vehicles in real time.

Print

 

Sources:

  1. https://spectrum.ieee.org/cars-that-think/robotics/artificial-intelligence/pittsburgh-smart-traffic-signals-will-make-driving-less-boring

3) Stakeholders

  • City and local governments
  • Department of Transportation
  • Road transport commuters.

4) Deployment 

  • Research cities with highest intersection traffic congestion
  • Partner with the DOT and local governments to install the SURTRAC system in those areas
  • Reach production at scale so as to being down cost of installation of each SURTRAC unit.

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Waylay enables smart traffic management for the city of Ghent

  1. The problem is traffic and lost time as a result of congestion.

 

  1. Article title- Waylay enables smart traffic management for the city of Ghent

Website name- waylay.io

Link- http://www.waylay.io/waylay-enables-smart-traffic-management-for-the-city-of-ghent/

 

  • Waylay is working to implement connected IoT to make it truly predictive and real time interface for traffic in Ghent.
  • Waylay is working to build a smart road that uses sensors in various areas to actively predict and reroute travelers as well as send real time updates automatically, as the current system still requires manual inputs for particular traffic situations
  • Waylay leverages Twitter to inform constituents and uses DATEX II, which is the European standard created for information exchange between traffic control centers (TCC)
  • Waylay also help the TCC personnel on the back end informing them of anomalies as they are detected

 

  1. Stakeholders: Ghent residence and municipalities, the traffic control centers, commuters, taxi drivers, data analytics firms, sensor and IoT device manufacturers,

 

  1. Steps for deploying the technology:
  2. Third party verification of the data being presented and released via the designed algorithms and application
  3. Market the technology to strategic organizations in an effort to partner with contingents and stakeholders who can benefit from the technology the most and allows for additional R&D
  4. Continue to develop and integrate sensors in novel areas so the input is passive and reliable.