Flow Labs and Seattle Department of Transportation sign agreement to analyze intersection efficiency

Flow Labs, a transportation software technology leader specializing in Artificial Intelligence (AI) that makes roads cleaner, clearer and safer, announced an agreement with the Seattle Department of Transportation to deploy the company’s Traffic Signal Management platform across the city’s University District.

Flow Labs’ Integrated Connected Vehicle Data (ICVD) Platform seamlessly integrates Seattle’s roadway infrastructure data, capturing high resolution data from traffic signals, detection systems, and connected vehicles, and provides Seattle DOT with a comprehensive real-time view of roadway conditions at every level. The AI-powered platform will analyze key corridors in Seattle to generate detailed information concerning traffic patterns, congestion points, and other factors affecting traffic flow, enabling Seattle DOT to understand the effectiveness of signal timings and overall traffic network performance.

“The Seattle Department of Transportation is a very progressive agency that understands the importance of analytics in delivering the safest, most efficient conditions for drivers, pedestrians and cyclists,” said Jatish Patel, Flow Labs’ CEO and Founder. “By leveraging the data that’s already flowing from our roadways and road users, Seattle DOT will have complete visibility into roadway conditions and the ability to adjust traffic patterns as often as needed to ensure streets work better for everyone.”

Seattle’s University District is an urban residential and business community. It is home to the University of Washington’s main campus, including the more than 70,000 seat Husky Stadium, which dramatically impacts the area’s traffic volumes on football game days. The Flow Labs platform brings Artificial Intelligence (AI) to traffic signal management, enabling Seattle DOT to proactively manage traffic signals accounting for pedestrian, bicycle, and vehicle safety while balancing efficiency goals during large scale events.

Flow Labs uses AI to clean and analyze data from multiple sources, including from connected vehicles and existing detection devices, to provide previously unachievable traffic volume accuracy and the clearest picture of intersection efficiency available, all with no hardware required.

“Performance measurement has always been difficult, particularly getting clear metrics on overall mobility, efficiency and sustainability. The necessity of expensive hardware and manual fieldwork has always been a barrier to improving traffic conditions,” said Patel. “The Flow Labs platform taps into the power of integrated transportation data and AI so agencies can orchestrate the entire transportation ecosystem for improved safety, accessibility and quality of life in cities for all road users."