Skip to main content

Wavetronix remedies red light running

Red light running is dangerous, but people still do it. As Wavetronix says, rather than rely on enforcement technologies that try (and ultimately fail) to change driver behaviour, why not make systemic changes that remove the risk of running red lights altogether? Wavetronix is highlighting on its booth here at ITS America Detroit, that it is possible to help drivers pass through intersections more safely and keep them from running red lights without affecting efficiency. The company’s SmartSensor Advance
June 6, 2018 Read time: 2 mins

Red light running is dangerous, but people still do it. As 148 Wavetronix says, rather than rely on enforcement technologies that try (and ultimately fail) to change driver behaviour, why not make systemic changes that remove the risk of running red lights altogether?

Wavetronix is highlighting on its booth here at ITS America Detroit, that it is possible to help drivers pass through intersections more safely and keep them from running red lights without affecting efficiency. The company’s SmartSensor Advance has the ability to provide dilemma zone protection for each vehicle.

The system decreases red light running by holding the green for vehicles detected in a dilemma zone. This dilemma zone protection is based on the precisely calculated estimated time of arrival of each vehicle at the stop bar. This is determined by continuously tracking the speed and range of each vehicle as it approaches an intersection. At the same time, Advance identifies safe gaps in traffic to determine the safest time to terminate the green light, allowing the signal phase to “gap out” instead of “max out” improves safety while also maximising efficiency.

This technology is currently being used at intersections throughout the US. Whether a driver is fast and aggressive or slow and defensive, SmartSensor Advance provides the appropriate level of dilemma zone protection and alters the signal phase to accommodate them safely and efficiently.

Booth 318

For more information on companies in this article

Related Content

  • Machine vision’s image of road management’s future
    June 11, 2015
    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
  • Weighing up the future with AI
    April 14, 2022
    There is broad agreement that artificial intelligence will be an important part of Weigh in Motion as we go forward – but Adam Hill finds that not everyone agrees quite how close we are to that point
  • Too safe for safety’s sake
    October 22, 2013
    In-vehicle systems are making huge advances in vehicle safety with the introduction of ABS, collision avoidance, adaptive cruise control, lane departure alert and blind spot warning… the list goes on. But at the same time accidents are still happening and arguably getting bigger. A look at a list of multi-vehicle (30 - 300) accidents across Europe, North and South America and parts of the Middle East shows that the trend is increasing with 2013 already having witnessed seven such incidents – three of which
  • Cost benefit analysis ‘can’t be carried out with a cookbook’
    June 25, 2018
    There is far more to working out the worth of a project than simply filling in a few headings on a spreadsheet. David Crawford surveys some recent thinking from the US and Canada. Cost benefit analysis (CBA) “can’t be carried out with a cookbook”, warns US analyst Professor Robert J Brent. “ You can’t just get out a spreadsheet and fill in the data for all the headings. Each transport CBA should have something that is distinctive, in terms of location (for example, for a rural area), types of user