Every aspect of life is becoming smarter, including traffic lights. Almost unchanged for more than a century, today’s American traffic signals are now undergoing machine learning. The result is a more efficient safer, more secure and green transportation system. Traffic signal preemption is one example. It can assist drivers in avoiding potentially life-threatening collision. A system that integrates traffic lights and an e-bike/scooter sensor will automatically time stoppages in accordance with commuters’ daily schedules.
IoT sensor and connectivity technologies help more intelligent traffic control systems to maximize energy efficiency by optimizing signal timings based on actual conditions. The data collected from sensors and cameras can either be processed in the device itself, or sent to the traffic management hub, where technologytraffic.com/2020/05/21/the-benefits-of-using-modern-traffic-technologies-by-data-room/ it will be integrated into AI algorithms. The result is more precise modeling and a predictive analysis that can help to avoid congestion, align schedules for public transit and reduce carbon emissions.
These innovative technologies could transform urban transportation systems. Smart sensors for e-bikes and scooters, for example can detect and transmit the location of shared vehicles to make ride sharing more practical. Micromobility payment systems however allow on-street parking and road tolls without the need for correct change.
IoT smart traffic technology can enhance the efficiency of public transit, making it easier for commuters to track buses and trams in real-time with live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so that they get to their destination faster this is a major breakthrough that has already reduced crash rate in certain cities.