California Department of Transportation (Caltrans) is putting in place an AI-powered safety solution at 52 signalised intersections in Orange County’s District 12 (D12).
The AI-powered safety solution combines Econolite’s video-based detection system Autoscope Vision with MIT spin-off Derq’s real-time perception and data fusion capabilities.
The system will look at road users' behaviour in a bid to improve safety, identifying high-risk areas and those with multimodal traffic.
Derq’s platform gathers safety and usage information, including traffic volumes, lane and traffic signal compliance, and insights about near-miss incidents involving vehicles, bicyclists and pedestrians.
These insights will be leveraged by Econolite’s EOS Advanced Traffic Controller software and integrated with the District’s connected vehicle solution to broadcast safety information to connected users.
Real-time data is provided to local agencies allowing them to make decisions around traffic management and roadway improvements.
Information about road conditions can be broadcast to connected vehicles, cellular devices and intelligent infrastructure such as traffic signals.
Caltrans aims to eliminate fatal and serious injury crashes on the state’s roadways by 2050 as part of its 2023-2024 Road Safety Action Plan.
“Econolite has a very long history of supporting Caltrans with world-class ITS solutions and this project leverages the very best of Econolite and Derq,” said Mike McIntee, Econolite vice president, western sales.
“We are proud to be working with Caltrans and Econolite to deploy Derq’s intelligent transportation system and help create a safer environment for everyone on the roads,” said Karl Jeanbart, co-founder and COO of Derq.
“Our state-of-the-art AI technology, real-time data, and predictive analytics will empower the Caltrans and Orange County to make data-informed decisions as they continue their mission to eliminate road fatalities.”
Derq has active deployments in 13 states in the US, as well as several international deployments.
