Gridsmart deploys new traffic-time collection system in home city

At no cost to the city or its tax-payers, local transportation solutions company Gridsmart has deployed six of its new Streetsmart wi-fi traffic-time collection system in its home city of Knoxville. The new six-intersection traffic management area will provide real-time, comprehensive travel times, congestion mapping and traffic count data, allowing the city to study and better manage travel trends at major intersections, potentially reducing congestion. Streetsmart uses wi-fi signals generated in vehicles
April 19, 2017 Read time: 2 mins
At no cost to the city or its tax-payers, local transportation solutions company 8097 Gridsmart Technologies has deployed six of its new Streetsmart wi-fi traffic-time collection system in its home city of Knoxville.


The new six-intersection traffic management area will provide real-time, comprehensive travel times, congestion mapping and traffic count data, allowing the city to study and better manage travel trends at major intersections, potentially reducing congestion.

Streetsmart uses wi-fi signals generated in vehicles to track them as they advance through multiple devices along a city street, building data on origin destination, speed and congestion. The system archives and sends the data through the cloud, giving traffic managers a high-level overview of traffic patterns, time-stamped travel times, trouble areas as well as those caused by seasonal changes so that they can study the information over time or take immediate action to relieve congestion. It also ensures driver privacy as all of the information is collected anonymously.

As part of the initiative, the company upgraded two of their existing intersection management Gridsmart systems with updated iconic bell cameras.

In addition to helping to reduce congestion, the Streetsmart installation will become a critical piece of traffic infrastructure as Knoxville considers whether to become a test bed for connected and autonomous vehicle/smart city technologies.

Detection, Monitoring & Machine Vision UTC

Related Content

  • February 3, 2012
    Is DSRC progressive enough for future connected mobility?
    Dedicated Short Range Communications technology, says Cisco's Paul Brubaker, is not by itself progressive enough to sustain long-term innovation in the connected mobility environment - and yet IPv6 and other developments remain largely ignored by policy-makers
    Read More
  • March 17, 2014
    Dynamic lane closures cuts time, cost and congestion on Motorway roadworks
    A combination of technologies is leading to major congestion and cost reductions during roadworks on the UK’s motorway network. Innovative construction programme scheduling technology and the deployment of moveable barriers has achieved substantial savings of money and time on UK motorway roadworks managed by the Highways Agency (HA). This combination has set the scene for a new generation of road usage analysis tools. The HA’s objective was to reduce the congestion caused by lane closures during roa
    Read More
  • January 31, 2012
    Demand management schemes, is there a better way?
    The European Commission is placing too much emphasis on the use of demand management, according to the FIA. Here, Wil Botman, Director-General of the FIA's European Bureau, explains why. Towards the end of last year, the European Bureau of the Fédération Internationale de l'Automobile (FIA) released a statement which criticised the European Commission's (EC's) approach to urban traffic congestion following the adoption of the Action Plan on Urban Mobility. In particular, the FIA voiced concerns over what it
    Read More
  • December 18, 2014
    Queensland extends emergency vehcile priority system
    Following encouraging results from an initial small-scale trial of an emergency vehicle priority system in Queensland, Australia, the scheme is now being extended. In an emergency every second counts. Nowhere is this more graphically illustrated than by the survivability statistics for the time to cardiopulmonary resuscitation of pre-hospital cardiac arrest: at four minutes the survival rate is 22% but by 14 minutes the survival has dropped to 5% - as can be seen from the graph below. There is a similar tre
    Read More

Highlighted Content