Traffic lights aren’t an exception. The American traffic lights that have remained essentially unchanged for over a century now is now dependent on machine learning. This means a more efficient and safer transportation world. Traffic signal preemption for instance, can assist drivers in avoiding potentially life-threatening collision. A system that integrates traffic lights and an e-bike/scooter sensor will automatically time stoppages to align with commuters’ timetables.

IoT sensor and connectivity technologies allow intelligent traffic control systems that maximize energy efficiency by optimizing signal timings in accordance with real-time conditions. The data that cameras and sensors can be processed within the device itself or transmitted to an appropriate hub for traffic management, where it will be integrated into like this AI algorithms. The result is more precise modeling and a predictive analysis that will help prevent congestion, coordinate schedules for public transport and reduce carbon emission.

These advanced technologies could change the way we travel in urban areas. Smart sensors for e-bikes and scooters for instance, can identify and communicate location of shared personal vehicles to make ride sharing more efficient. Micromobility payment systems however permit parking on the street or road tolls without the requirement for changing the correct amount.

Smart traffic technology that is based on IoT can also improve the efficiency of public transit and allow commuters to track buses and trams in real time by using live tracking apps. And intelligent intersection technology can prioritize emergency vehicles in order to help them get to their destination faster this innovation has already dramatically reduced crash rates in some cities.