Traffic lights aren’t an exception. The American traffic lights which have remained virtually unchanged for a century now is now dependent on machine learning. The result is a more efficient and safer transportation world. Technology for preemption of traffic signals for instance can assist drivers in avoiding a life-threatening collision with pedestrians. A system that combines traffic lights and e-bike/scooter sensors will automatically schedule stoppages to coincide with commuters’ schedules of travel.
IoT sensors and connectivity technologies allow smarter traffic control systems that maximize energy efficiency by optimizing signal timings in accordance with actual conditions. The data collected by cameras and sensors can be pre-processed on the device or sent to a traffic management hub which is then integrated into AI-based algorithms. The result is a more precise modeling and a predictive analysis that can prevent congestion, coordinate schedules for public transportation and reduce carbon emissions.
These technologies are transforming urban transport systems. Smart e-bike/scooter sensors for instance, could detect and communicate the location of personal vehicles shared by others to make ride-sharing more efficient. Micromobility payment technologytraffic.com/2021/12/29/generated-post-4 systems however allow on-street parking and road toll payments with no requirement for changing the correct amount.
IoT smart traffic technology could enhance the efficiency of public transit by allowing commuters to track buses and trams in real-time by using live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles to assist them get to their destination faster This innovation has already dramatically reduced the rate of crashes in a few cities.
