Everything’s getting smarter these days and that includes traffic lights. The American traffic lights, which have remained virtually unchanged for 100 years are now dependent on machine learning. The result is a more efficient, safer, and more green transportation system. Traffic signal preemption technology, for example, can help drivers avoid an injury-causing collision with pedestrians. A system that combines traffic lights and e-bike/scooter sensors can automatically time stops to coincide technologytraffic.com/2021/07/08/generated-post-2/ with commuters’ travel plans.
IoT sensors and connectivity technologies allow smarter traffic control systems that maximize energy efficiency by optimizing signal timings based upon real-time conditions. The data gathered from sensors and cameras can either be pre-processed in the device itself, or sent to a hub for traffic management where it is integrated into AI algorithms. The results are more precise analysis and predictive models to prevent congestion, align public transit schedules and cut carbon emissions.
These technologies are transforming urban transportation systems. Smart e-bike/scooter sensor for instance, can detect and transmit the location of personal vehicles shared by others to make ride-sharing more practical. Micromobility payment systems, on the other hand, enable on-street parking or road tolls without the need for a change in the right amount.
IoT smart traffic technology could also increase the efficiency of public transport and make it easier for commuters to track trams and buses in real-time by using live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so that they arrive at their destination quicker – a breakthrough that has already reduced crash rates in certain cities.
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