Everything’s getting smarter these days and that includes traffic lights. The American traffic lights that have remained essentially unchanged for a century now, are now affected by machine learning. The result is an efficient safer, more secure and environmentally friendly transportation world. Technology to prevent traffic signals, for example will help drivers avoid an injury-causing collision with pedestrians. A system that incorporates traffic light and e-bike/scooter sensors can automatically time stops to coincide with commuters’ travel schedules.
IoT sensor and connectivity technologies enable more intelligent traffic control systems to maximize energy efficiency by optimizing signal timings based on navigate to this site actual conditions. The data that cameras and sensors can be pre-processed in the device itself, or sent to the traffic management hub, where it will be integrated into AI algorithms. The results are more precise analysis and predictive modeling to prevent congestion, align the schedules of public transportation and reduce carbon emissions.
These smart technologies can transform urban transportation systems. Smart e-bike and scooter sensors, for instance, are able to detect and transmit the location of shared personal vehicles to facilitate more convenient ride-sharing micromobility payment systems can facilitate on-street parking and road toll payments without needing correct change.
IoT smart traffic technology could 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 can assist prioritize emergency vehicles so they can get to their destination more quickly – a breakthrough that has already reduced the number of crashes in certain cities.