Traffic lights aren’t an exception. The American traffic lights, which have remained virtually unchanged for 100 years is now influenced by machine learning. The result is an efficient safer, safer, and sustainable transportation system. Technology for preemption of traffic signals, for example can help drivers avoid an injury-causing collision with pedestrians. A system that combines traffic lights and e-bike/scooter sensors can automatically time stops so that they align with commuters’ schedules.
IoT sensor and connectivity technology helps to build more intelligent traffic control systems that maximize energy efficiency through optimizing signal timings in real time. The data from sensors and cameras can either be processed in the device itself or sent to an appropriate hub for traffic management which will then be integrated into AI algorithms. The results are more precise analysis and predictive models to avoid congestion, coordinate public transit schedules and reduce carbon emissions.
These advanced technologies have the potential to transform urban transport systems. Smart e-bike/scooter sensors, for instance, are able to detect and communicate the location of shared personal vehicles for more convenient ride-sharing while micromobility payment systems enable street parking and road-toll payments without needing correct change.
IoT smart traffic technology could also improve public transit efficiency, making it easier for commuters to track buses and trams in real-time using 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 the number of crashes in some cities.
technologytraffic.com/2020/05/01/modern-traffic-technologies-by-board-room