Parking has a substantial impact on traffic, the transportation experience, and city planning. In urban areas, studies have shown that roughly 30% of cars in traffic are drivers searching for parking. Outside of the impact on traffic as a whole, "U.S. drivers spend 17 hours per year searching for parking at a cost of $345 per driver in wasted time, fuel and emissions", and in larger cities, like Grand Rapids, it is often much worse.
Solving these problems is difficult and measuring the impact of initiatives geared towards solving them is also not easy.
Automotus has recently launched parking focused video-analysis software that helps solve these problems for both drivers and city administrators. Live parking guidance helps drivers find available spots in real-time, reducing traffic caused by searching for parking. Assisted-enforcement alerts parking officers of violations, increasing efficiency and revenue, while also incentivizing spot turnover. Automated pay-by-plate lets drivers skip the meter and automatically pay every time they park by simply linking their license plate to their payment information online. Parking and traffic analytics provides administrators with relevant data that represent trends and patterns in their traffic ecosystem to help them better understand how to best allocate their resources and adjust policies.
Automotus video-analysis AI runs on cameras overlooking street parking and entry/exit points of garages to monitor traffic and parking. Communities with existing cameras, like Grand Rapids, can leverage them for much more than their current use and add Automotus or third-party cameras where needed.