ADOT advances wrong-way detection with US$3.7 million project

A US$3.7 million project by Arizona Department of Transportation (ADOT) to construct a thermal detection system to detect wrong-way vehicles and alert other drivers and law enforcement has been approved by the State Transportation Board. Once operational, the system will use thermal cameras, warning signs for wrong-way drivers and advisories for right-way drivers along a 15-mile stretch of I-17. In addition, the system will automatically focus highway cameras on the wrong-way vehicle and send automated aler
June 14, 2017 Read time: 2 mins
A US$3.7 million project by 6576 Arizona Department of Transportation (ADOT) to construct a thermal detection system to detect wrong-way vehicles and alert other drivers and law enforcement has been approved by the State Transportation Board.


Once operational, the system will use thermal cameras, warning signs for wrong-way drivers and advisories for right-way drivers along a 15-mile stretch of I-17. In addition, the system will automatically focus highway cameras on the wrong-way vehicle and send automated alerts to the Highway Patrol.

On freeway ramps, wrong-way vehicles will trigger alerts, including illuminated signs with flashing lights, aimed at getting drivers to stop. The system will immediately warn other drivers through overhead message boards as well as law enforcement. Cameras in the area will automatically turn to face the wrong-way vehicle so traffic operators can better track it.

On the freeway, thermal cameras placed at one-mile intervals will signal when a wrong-way vehicle passes so State Troopers plan their response and get out in front of the wrong-way driver, providing a faster response.

Construction of the thermal camera pilot system is expected to begin this autumn and will take around seven months to complete.

Detection, Monitoring & Machine Vision Urban Traffic Control Air Quality & Weather Systems

For more information on companies in this article

Related Content

  • The benefits of combining enforcement and traffic management
    February 27, 2013
    Jason Barnes considers how combining enforcement equipment with other traffic management technologies might benefit our future – if only the will were really in place to do so. During the ITS World Congress in Vienna in October last year, Navtech Radar and Vysion­ics ITS announced a strategic partnership that would combine the expertise of Navtech in millimetre-wave wide-area surveillance technology with Vysionics’ machine vision-based automatic number plate recognition (ANPR) and average speed measurement
    Read More
  • TEXpress adds reversible managed lanes
    April 19, 2017
    Land availability restrictions and tidal traffic flows have led to the implementation of a novel managed lane configuration in Texas, as Colin Sowman finds out. Dealing with traffic congestion related to the ‘tidal flows’ caused by large numbers of commuters making their way into major business hubs in the morning and returning to the suburbs in the evening, has seen the widespread use of adaptive signal timing and even reversible lanes.
    Read More
  • Speed reduction measures - carrot or stick?
    January 23, 2012
    In Sweden, marketing company DDB Stockholm employed a mock speed camera as part of a promotional campaign for automotive manufacturer Volkswagen. The result was worldwide online interest and promotion of the debate over excessive speed to the national level. A developing trend in traffic management policy is to look at how to induce road users to modify their behaviour by incentivising change rather than forcing it through the application of penalties. There have been several studies conducted into this; an
    Read More
  • Preventing connected vehicles creating disconnected drivers
    November 12, 2015
    Advanced driver assistance systems (ADAS) are evolving at a rapid pace – but drivers’ ability to cope with them is not and at some point the mismatch must be addressed. Probably the biggest challenge the transportation industry has ever faced.” That is how Dr Bryan Reimer of Massachusetts Institute of Technology AgeLab describes the challenges posed by semi-autonomous vehicles.
    Read More

Highlighted Content