Skip to main content

MnDOT to pilot radar system for traffic monitoring

The US’s Federal Communications Commission (FCC) has given approval to the Minnesota Department of Transportation (MnDOT) to trial the use of a radar system to monitor and study traffic flow on Interstate 94. The idea to use radar for traffic monitoring was originally submitted to the agency under its Innovative Idea Program last June. Currently, the proposal is to deploy a traffic detection system that can monitor six lanes of traffic and two overhead bridges from one location. The objective is to
April 15, 2015 Read time: 2 mins
The US’s 2115 Federal Communications Commission (FCC) has given approval to the 2103 Minnesota Department of Transportation (MnDOT) to trial the use of a radar system to monitor and study traffic flow on Interstate 94.

The idea to use radar for traffic monitoring was originally submitted to the agency under its Innovative Idea Program last June. Currently, the proposal is to deploy a traffic detection system that can monitor six lanes of traffic and two overhead bridges from one location.

The objective is to gather accurate traffic and congestion information from the trial, with the collected information to be provided to necessary staff for emergency situations. The information is also to be stored to provide congestion and incident metrics. As a side benefit, the proposed system can also detect lane changes and manoeuvres, helping identify driver behaviour.

The proposal has been accepted by MnDOT in conjunction with its partner 3525 AECOM, a consultant and technical services partner on the project, and RhiZone, a local innovation partner.

The ultimate goal is to perform traffic data collection activities using the 360 degree radar, test the accuracy of the devices, and provide a detailed summary of traffic data and driver behaviour at the selected field site, which is located on I-94, just east of the Lowry Hill Tunnel near the I-35W overpass.

The system will use a radar unit provided by 819 Navtech Radar to gather real-time traffic data from the site, and software installed at the MnDOT Regional Traffic Monitoring Center (RTMC) will detect traffic incidents based on analysis of the traffic data collected.

The AECOM Team will be responsible for deployment of the system, data collection, monitoring and reporting. The next steps in the pilot project include producing the Systems Engineering documentation to guide design and deployment activities, and to deploy the radar system for six months of operation, beginning in spring 2015.

Related Content

  • October 18, 2013
    Spot speed deterrent proved to be transient
    As research and trials show the benefits of average speed enforcement - David Crawford reviews developments on two continents. August 2013 saw the switch on of the Australian State of Victoria’s latest combined point-to-point (P2P) average speed enforcement (ASE) and spot camera control system. Installed on the 27km Peninsula Link to the south-east of Melbourne, the system uses high-resolution automatic number plate recognition (ANPR) cameras and optical character recognition (OCR) technology developed b
  • February 1, 2012
    Will standardisation increase ITS interoperability?
    Theoretical balance Kallistratos Dionelis, secretary general of ASECAP, comments on the European Commission's new ICT Standardisation Work Programme. I've just read a proposal from the European Commission on the 2010-2013 ICT Standardisation Work Programme. As ASECAP Secretary General this is one of my responsibilities. I work to receive information, to disseminate information and to build bridges and mutual understanding between policy-makers and the industrial world, between ASECAP and others.
  • October 17, 2012
    Benefits of SMART Signal system
    Developed by researchers led by civil engineering associate professor Henry Liu at the University of Minnesota, the SMART Signal (Systematic Monitoring of Arterial Road Traffic Signals) system is said to be reducing congestion on roads controlled by traffic lights. The system automatically collects and processes data from traffic signal controllers at multiple intersections. It then creates performance measures, including information on the times and locations congestion occurs on a given road. Traffic eng
  • June 11, 2015
    Machine vision’s image of road management’s future
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi