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 being affected by machine learning. The result is an efficient more sustainable, safer and greener transport world. Preemption of traffic signals, for example can aid drivers in avoiding technologytraffic.com a potentially life-threatening collision. A system that integrates traffic lights and e-bike/scooter sensor can automatically time stoppages in accordance with commuters' daily schedules.

IoT sensor and connectivity technology enables intelligent traffic control systems that maximize energy efficiency through optimizing the timing of signals in real-time. The data from sensors and cameras can either be processed within the device itself, or sent to the traffic management hub and then integrated into AI algorithms. The result is more precise model and predictive analysis that can prevent congestion, improve schedules for public transit and reduce carbon emission.

These advanced technologies could transform the urban transport system. Smart e-bike/scooter sensors for instance, could detect and communicate the location of shared personal vehicles to make ride-sharing more efficient. Micromobility payment systems, on the other hand permit parking on the street or road tolls without the requirement for changing the correct amount.

IoT smart traffic technology can also boost the efficiency of public transportation, making it easier for commuters to track buses and trams in real time using live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles to ensure they reach their destination faster - a breakthrough that has already reduced crash rate in some cities.