BASINGSTOKE, UK — JCC Bowers, the solutions provider of Connected, Intelligent, and Autonomous transportation technology, announced today that its engineers have developed an algorithm to predict traffic accidents and promote safe driving.

Once deployed, the new AI-powered technology will make it easier for drivers, municipalities, and insurance companies to assess risk. Not only will it empower vehicle operators to avoid accident-prone hotspots, it will also give smart cities the up-to-the-minute information they need to efficiently make infrastructure improvements.

The model is, ahem, driven by artificial intelligence and is already off and running to integrate all sorts of additional datasets. These include a variety of inputs such as road type, speed limit, weather, and ambient light conditions, whether urban or rural, etc. Additionally, the model will pull insight from live traffic feeds and other real-time sources, giving all transportation stakeholders an unprecedented level of insight into the roads we all drive.

Traffic Accidents Today

Roughly 180,000 people are injured or killed on UK roads every year with about 6% of all traffic accidents caused by problems with the roadway itself.

“This is a game changer,” said JCC Bowers CEO John Bowers. “This is going to have a huge impact on the safety of our streets and the ways cash-strapped governments choose to invest in infrastructure improvements. We’re talking about easily finding and fixing the most dangerous sections of the road, knowing which highways to avoid when it snows, and ultimately, saving lives.”

Unlike other applications that alert users strictly to real-time traffic accidents, the JCC Bowers model takes into account historical crash data in conjunction with precise road conditions to predictively determine danger not just in one spot, but in similar locations throughout a neighborhood, city or even a country.

As a quite simple example, if the model determines that certain east-west aligned intersections are difficult to navigate at dusk when the sun strikes drivers’ eyes, our system will identify other east-west intersections that could be accident-prone in the future during that time period. This would include intersections in new neighborhoods that had yet to be driven on.

This algorithm is advantageous in any number of contexts, from helping municipalities plan driving safety campaigns to guide housing developers’ choices for street planning. The technology could equip insurance companies with safe driving options customized to customers. A shorter, higher-risk route might be appropriate for excellent drivers, while a longer, lower-risk route might be better for teenage drivers.

The AI team at JCC Bowers is working every day to improve transportation. Our experts are busy developing technologies that integrate image processing, natural language processing, predictive maintenance, and pattern recognition to bring safety, ease, and automation to the ways people move throughout the world.

About JCC Bowers

JCC Bowers is a UK-based technology solutions provider for Connected, Intelligent, and Autonomous systems for a variety for transportation industries, including automotive, aerospace, nautical, agriculture, and defense. The company’s suite of products enables major existing industry participants to bridge legacy technological shortfalls and address the coming digital convergence through previously unimaginable Connected, Intelligent and Autonomous capabilities. | https://jccbowers.com