Hayden AI has completed the first phase of expansion for the Metropolitan Transportation Authority's automated bus lane enforcement (ABLE) program in New York City, with 300 mobile perception systems installed on nine additional Select Bus Service routes in Queens, the Bronx, and Staten Island. A perception system for autonomous driving helps with object detection, lane analysis, and self-positioning. The AI technology employed in the ABLE program can detect when a vehicle is driving outside of a designated bus lane, enabling traffic enforcement officials to take action more quickly.
The systems, which use cameras and AI to detect vehicles illegally driving or parking in bus lanes, are the first of their kind to be deployed in New York City. The ABLE system helps get rid of traffic jams and makes sure that buses move quickly and effectively, giving customers more reliable service.
Chris Carson, said, "It’s an honor to partner with the MTA to improve bus service with our mobile perception platform. Increasing transit ridership requires increasing bus speeds and improving schedule reliability. Our ABLE platform was built by transit riders for transit riders to do exactly that. We’re excited to continue our work with the MTA to keep bus lanes clear for buses."
CEO and co-founder of Hayden AI
The expansion is expected to increase bus speeds in all five boroughs of the city. The MTA previously announced plans to install ABLE systems on 500 buses by June 2023 and at least 600 more buses in 2023. With the deployment of the ABLE system, New York City is taking an important step to improve public transportation for its citizens and visitors alike.
The ABLE system has already been shown to increase bus speeds, ridership, and decrease crashes on the M14 route in Manhattan and has been effective at changing driver behavior to keep bus lanes clear.
About Hayden AI
With its mobile platform, Hayden AI is pioneering smart traffic enforcement to improve the safety, efficiency, and sustainability of municipal fleet vehicles. Our platform enables government agencies to enforce traffic laws while also leveraging AIoT data to gain actionable insights that improve the quality of life in their communities. Our flagship product, Automated Bus Lane Enforcement, was developed by a team of experts in machine learning, data science, transportation, and government technology. It enforces dedicated bus lanes, delivery zones, and intersections to reduce traffic congestion, improve bus speeds, and increase transit ridership.