Every aspect of life is becoming smarter, including traffic lights. The American traffic lights that have remained essentially unchanged for more than a century now are now being affected by machine learning. The result is a more efficient and safer transportation world. Preemption of traffic signals is one way to assist drivers in avoiding a potentially life-threatening collision. A system that incorporates traffic lights and e-bike/scooter sensors will automatically time stops to coincide with commuters‘ travel plans.

IoT sensor and connectivity technology allows smarter traffic control systems to maximize energy efficiency by optimizing signal timings in accordance with the current conditions. The data gathered by cameras and sensors can be processed on the device or sent to an infrastructure for traffic management, where it is incorporated into AI-based algorithms. The results are more precise analysis and predictive modeling to avoid congestion, coordinate public transit schedules and cut carbon emissions.

These advanced technologies could transform the urban transport system. Smart sensors for e-bikes and scooters, for instance, can track and share the locations of personal vehicles that are shared for more convenient technologytraffic.com/2020/05/21/the-benefits-of-using-modern-traffic-technologies-by-data-room ride-sharing while micromobility payment systems enable street parking and road-toll payments without the need for correct change.

IoT smart traffic technology could enhance the efficiency of public transit and make it easier for commuters to track trams and buses in real time using live tracking apps. Intelligent intersection technology can prioritize emergency vehicles, allowing them to get to their destination faster This innovation has already drastically decreased crash rates in certain cities.