Traffic Technology International
Citilog’s automatic wrong-way detection solution with deep learning offers accurate, real-time alerts to help reduce catastrophic accidents
The devastating consequences of head-on collisions that result from wrong-way driving incidents underscore the urgent need for effective traffic management solutions.
In the US alone, wrong-way driving accounted for 704 fatalities and 1,282 incidents in 2022, according to figures from the Federal Highway Administration (FHA). The dangers posed by wrong-way drivers are particularly acute on high-speed roadways, where the potential for catastrophic accidents is significantly higher. The risks are further exacerbated in tunnels where room to avoid an accident is limited. Likewise, bridges and overpasses, usually elevated and with limited escape routes, can amplify the danger of a wrong-way collision. When a vehicle enters a roadway in the wrong direction, it creates a high-stakes situation that demands immediate attention.
A technological shield
Citilog’s automatic wrong-way detection software provides a rapid and actionable defense against this hazardous scenario. By leveraging cutting-edge Al based on more than 25 years of experience with automatic incident detection, Citilog’s system instantly identifies wrong-way vehicles, providing alerts and crucial information for fast response. By improving the reaction time of operators and automatically activating warning signs, this system can help to save lives by preventing accidents and secondary crashes.
A key advantage of Citilog’s solution is its compatibility with existing digital and IP-enabled camera monitoring systems. This means that agencies can implement the system without the need for additional infrastructure, making it a cost-effective and efficient solution.
By seeing the vehicle’s path being tracked, operators swift action, such as alerting authorities, activating warning systems, or implementing traffic control measures
Reducing false positives
Some Al detection systems struggle with adverse weather conditions, shadows, and other environmental factors, leading to spurious notifications. Citilog’s deep learning algorithms, pre-trained on hundreds of thousands of hours. of real-world traffic scenarios, can effectively The number of real-world implementations Citilog’s automatic wrong-way detection software is being used in differentiate between genuine wrong-way incidents and false positives, ensuring that operator attention is focused on critical situations. That also means that Citilog’s system does not require onsite learning, so agencies don’t have to wait for legitimate incidents to improve the performance of the system.
1. Wrong-way incidents can be detected and acted upon swiftly thanks to deep learning algorithms
Citilog’s automatic incident detection user interface can instantly identify and track wrong-way driving, providing a clear visual representation of the wrong-way vehicle’s trajectory. “By seeing the vehicle’s path being tracked, operators can quickly validate the details of the incident and take swift action, such as alerting authorities, activating warning systems, or implementing traffic control measures,” says Tad Carter, senior project manager for Citilog.
2. Citilog’s ability to track a wrong-way vehicle empowers operators to evaluate and
prioritize incidents quickly
Commitment to safety
The effectiveness of Citilog’s technology has been demonstrated in various real-world applications, including over 60,000 cameras spanning more than 1,600 implementations, giving it a huge range of experience to draw upon. In Virginia and Washington, the wrong-way detection system is used to monitor reversible express lanes, where it can accurately detect wrong-way vehicles that have bypassed the barriers during rush hour lane reversals. These systems notify first responders and activate warning signs to alert other motorists to assist in preventing often-disastrous accidents.
Citilog is dedicated to road safety and Vision Zero goals through continuous innovation and the development of reliable, effective solutions. By empowering safety-minded traffic operators with advanced Al tools and deep learning, the company aims to reduce the devastating impacts of wrong-way driving and other traffic incidents. We all can agree that saving lives should be at the top of the list for all transportation professionals.
