AI and Traffic Engineering
Accidents at intersections typically involve two or more vehicles contesting a space designed for one. All too often, however, a pedestrian is also involved, either with multiple vehicles or with one vehicle. Either way, it is usually the pedestrian who suffers the most.
The City of Denver has received a federal grant to deploy technology to address traffic congestion along with vehicle and pedestrian safety. Under this federal grant, “Advanced Transportation and Congestion Management Technologies Deployment Program,” Denver contracted with Boulder AI, an IoT (Internet of Things) hardware and software company, under which Boulder AI will provide technology to make traffic crossings for pedestrians safer. The planning for intersection safety in Denver is focused on Boulder AI’s artificial intelligence driven platform that makes decisions based on traffic flow analytics and pedestrian behavior to inform real-time interventions and long-term projects.
For example, traffic signal operations can be modified if someone, such as a young child or a physically impaired individual, needs a little more time to cross the street. Boulder AI’s visual IoT platform provides a way to do this while maintaining the pedestrian’s privacy. The Boulder AI system doesn’t capture or transmit any video of people but only reacts to their movement.
In 2019, Boulder AI was used in downtown Denver at a major sports and concert center to manage traffic and pedestrian flow before and after large events. This allowed the City to react in real-time and manage traffic during the most congested times.
Denver is currently growing at a rate of 1.22% annually and its population has increased by 22.32% since the 2010 census, which recorded a population of 600,158. Spanning over 155 miles, Denver has a population density of 4,789 people per square mile and the city faces the challenge of moving more people faster on an aging infrastructure with a decreased financial capability due partly to the COVID-19 pandemic’s economic impact on taxes.
Boulder AI’s deep learning camera systems and software is used to inform operations, make planning choices, and automate routine actions. Their technology allows data processing to be done inside the camera which does not require the costly combination of broadband connections, servers, and on-site data storage, making Boulder AI much less expensive and easier to maintain compared to current non-edge options. Utilizing the latest in computing technologies and deep neural networks at the edge to enable AI algorithms, users may leverage any number of Cloud Services in an end-to-end solution.
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