Hayden AI and Verra Mobility partner to facilitate automated bus lane and bus stop enforcement

San Francisco, CA – Verra Mobility Corporation (NASDAQ: VRRM), a leading provider of smart mobility technology solutions, and Hayden AI, a leader in artificial intelligence and spatial analytics, announced today a partnership to offer next-generation technology solutions to customers across the U.S. Together, the two companies will deliver a seamless technology platform designed to improve road safety, sustainability, and public transit reliability and accessibility.

The partnership will leverage Hayden AI’s mobile perception technology and Verra Mobility’s customer integration experience to provide cities and transit agencies with a best-in-class program for automated bus lane, bike lane, bus stop, and double-parking enforcement solutions.

As leading industry experts, the collaboration will deliver a privacy-based, customer-centric platform that leverages machine learning to continuously adapt to the needs of each customer and create a comprehensive mobility solution for communities across the nation.

Cities will receive added value through a multi-solution approach that helps decrease commute times and congestion and increase accessibility, ultimately delivering more reliable schedules for riders. The residual benefit includes a more holistic community transit value through increased ridership, reduced exhaust pollution from idling buses, and increased bicycle safety.

Partnership contributions

Verra Mobility is the largest safety and mobility event-processing company, capturing more than 50 million events across the globe. With nearly 30 years of experience, Verra Mobility will deliver quality, reliability, and a proven capacity to process the needs of customers. As a large, scalable organization with proven financial strength, the company has the unique ability to cater to communities of all sizes - from complicated large metropolitans to the unique needs of smaller municipalities.

Hayden AI is the US market leader in mobile automated bus lane and bus stop enforcement, with hundreds of AI-powered detection systems installed on transit buses across the country. The company will use its mobile perception platform mounted on transit buses to detect and identify instances of illegal parking in bus lanes, bus stops, bike lanes, and other dangerous no-parking zones. This technology uses edge processing to detect parking and moving violations in real-time and keep data secure.

“This is an exciting opportunity that allows us to offer the most up-to-date, adaptable technology to our customers, bringing them a more powerful tool to speed up transit and improve the commuter experience,” said Jon Baldwin, executive vice president of Government Solutions, Verra Mobility. “With our event automation, citizens will be able to get where they need to go faster, safer, and more efficiently, while transportation agencies will have real-time data insight to improve road congestion and increase ridership.”

“Hayden AI is excited to partner with Verra Mobility. By combining our innovative technology with Verra Mobility’s event processing platform we can improve safety, reliability, and accessibility for even more transit agencies and cities,” said Chris Carson, PhD, founder and CEO of Hayden AI. “Integrating our vision AI platform with Verra Mobility’s back-end will allow us to leverage our strengths and build on a solution designed to increase on-time arrivals, reduce carbon emissions, enhance safety and accessibility, and encourage more transit ridership.”

Hayden AI has installed hundreds of camera systems on transit buses across the United States for mobile automated bus lane enforcement while Verra Mobility is the leader in automated safety enforcement systems, with more than 13,000 safety camera systems deployed across three continents.

The two companies will look to expand beyond the bus lane enforcement to continuously develop the partnership, integrating additional mobility opportunities across the globe - now and into the future.