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Artificial intelligence is already impacting almost every aspect of our lives. But cities still rely on outdated technologies that are too expensive to scale and unable to deliver on their promise. As a result, streets are becoming unsafe, and cities are becoming unmanageable. Hayden AI was founded on the belief that by combining mobile sensors with artificial intelligence, we can help governments bridge the innovation gap while making traffic flow less dangerous and more efficient. Led by a team of experts in machine learning, data science, transportation, and government sales, we’ve developed the world’s first autonomous traffic enforcement platform — simultaneously serving citizens and multi-agency missions to help cities become safer, smarter, and more sustainable.

It’s an exciting time for urban transit. While the early disruptions of the pandemic decimated transportation networks in many cities, transit leaders are ready to build back stronger and smarter. They’re eager for new solutions and new technologies that can transform the urban transit experience, making it safer, more effective and more efficient.
Bus transit will play a vital role in reviving city economies in the post-pandemic era. But in order to maintain safe, reliable and efficient bus service, cities must ensure dedicated bus lanes remain clear from illegally parked vehicles. Innovative computer vision technology, aided by machine learning, is making it easier than ever for cities to enforce parking and keep buses running on time.
Cities are betting big on buses. Urban and suburban centers across the country are investing in new buses, bus routes, and bus lanes to provide safe and reliable public transportation, spur new economic development and reduce traffic congestion as the pandemic recedes and Americans return to work. Buses play a vital role in cities’ goals to reduce carbon emissions, and they’re a big part of Vision Zero programs to eliminate pedestrian traffic deaths.
The COVID-19 pandemic has decimated public transit in cities all over the world, completely changing the transportation landscape.
Bryan Shea is a US Government trained Intelligence Officer with over a decade of experience spanning law enforcement and national security agencies. He currently serves as the Vice President of Data Security and Privacy for Hayden AI. In this interview, Bryan shares glimpses of his security background and delves into Hayden AI’s data privacy and security priorities and plans for the future.
The pandemic has decimated public transit in cities all over the world. Ridership on subways, trains and buses plummeted by 80 percent in many urban centers last year. And it will likely be years before all those riders return: One analysis found that ridership in the New York MTA, for example, may return only to about 80 to 92 percent of pre-pandemic levels by the end of 2024.
Buses are a vital part of public transportation networks, and cities increasingly have been strengthening that network with dedicated bus lanes for safer and more efficient transit. Illegally parked vehicles can be a serious problem for bus service, and parking enforcement for those cars can be a challenge. In this Government Technology Q&A, Stuart McKee (left) and Chris Carson (right) share their thoughts about the important role of enforcement in a reliable transit system. They are the COO and CEO, respectively, of Hayden AI, which offers an innovative bus-mounted enforcement device for cities.
Cities are betting big on buses. Urban and suburban centers across the country are investing in new buses, bus routes, and bus lanes to provide safe and reliable public transportation, spur new economic development and reduce traffic congestion as the pandemic recedes and Americans return to work. Buses play a vital role in cities’ goals to reduce carbon emissions, and they’re a big part of Vision Zero programs to eliminate pedestrian traffic deaths.
The pandemic has decimated public transit in cities all over the world. Ridership on subways, trains and buses plummeted by 80 percent in many urban centers last year. And it will likely be years before all those riders return: One analysis found that ridership in the New York MTA, for example, may return only to about 80 to 92 percent of pre-pandemic levels by the end of 2024.