Every aspect of life is becoming smarter and that includes traffic lights. The American traffic lights that have remained nearly unchanged for 100 years, are now controlled by machine learning. The result is a faster, safer, and more green transportation system. Technology for preemption of traffic signals for instance, can help drivers avoid the possibility of a fatal collision with pedestrians. A system that combines traffic light sensors and e-bike/scooter sensors can automatically time stops to align with commuters’ schedules.

IoT sensors and connectivity technologies enable intelligent traffic control systems that maximize energy efficiency by optimizing signal timings based upon actual conditions. The data gathered from cameras and sensors can be processed within the device about his itself or transmitted to a hub for traffic management and then integrated into AI algorithms. The result is a more precise model and predictive analysis that can prevent congestion, improve schedules for public transit and reduce carbon emissions.

These technologies are transforming urban transport systems. Smart e-bike/scooter sensors, for example, can detect and relay the location of shared vehicles to make it easier to share rides, micromobility payment systems can facilitate parking on the street and road toll payment without the need to change.

IoT smart traffic technology could also improve public transit efficiency, making it easier for commuters to track buses and trams in real-time with live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles so they get to their destination faster this is a major breakthrough that has already reduced crash rate in some cities.