Traffic lights are not an exception. In fact, after more than 100 years, today’s American traffic lights are now undergoing machine learning. This means a more efficient and safer transportation world. Traffic signal preemption technology, for example can help drivers avoid an injury-causing collision with pedestrians. A system that incorporates traffic lights and an e-bike/scooter sensors can automatically time stoppages to align with commuters’ schedules of travel.
IoT sensors and connectivity technologies allow smarter traffic control systems that maximize energy efficiency by improving signal timings according to real-time conditions. The data that sensors and cameras can either be processed within the device or sent to an infrastructure for traffic management which will then be integrated into AI algorithms. The result is a more precise and precise modeling as well as a predictive analysis that will help prevent congestion, align schedules for public transport and reduce carbon emission.
These advanced technologies are able to change the way we travel in urban areas. Smart e-bike/scooter sensors for instance, can track and share the locations of personal vehicles that are shared for more convenient ride-sharing, while micromobility payment systems allow technologytraffic.com/2020/05/21/the-benefits-of-using-modern-traffic-technologies-by-data-room street parking and road toll payments without the need for correct changes.
IoT smart traffic technology could also boost the efficiency of public transportation and make it easier for commuters to track buses and trams in real-time by using live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles to ensure they reach their destination faster This is a breakthrough that has already reduced crash rates in some cities.
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