Traffic lights aren’t the only exception. The American traffic lights which have remained virtually unchanged for over a century now is now controlled by machine learning. The result is a faster safer, safer, and environmentally friendly transportation world. Technology for preventing traffic signals, for example will help drivers avoid a life-threatening collision with pedestrians. A system that incorporates traffic lights and an e-bike/scooter sensors can automatically time stoppages in accordance with commuters’ schedules of travel.
IoT sensor and connectivity technology enables intelligent traffic control systems that maximize energy efficiency by optimizing the timings of signals in real-time. The data that cameras and sensors can be pre-processed in the device itself or sent to an appropriate hub for traffic management where it is integrated into AI algorithms. The result is more precise modeling and a predictive analysis that can help to avoid congestion, coordinate schedules for public transit and reduce carbon emissions.
These technologies are smart and could change the way we travel in urban areas. Smart e-bike/scooter sensors, for instance, can track and communicate the location of shared personal vehicles for more convenient ride-sharing, while micromobility payment systems enable parking on the street and road toll payment without the need to changes.
IoT smart traffic technology can enhance the efficiency of public transit and make it easier for commuters to track trams and buses in real-time by using live tracking apps. And intelligent intersection technology can prioritize emergency vehicles, allowing them to get to their destination faster This is an innovation that has already drastically reduced crash rates in some cities.