Traffic lights are no exception. In fact, after more than 100 years, modern American traffic signals have entered technologytraffic.com/ the age of machine learning. This results in a more efficient safer, more secure, and eco-friendly transportation system. Technology for preemption of traffic signals, for example can assist drivers in avoiding a life-threatening collision with pedestrians. A system that integrates traffic lights and e-bike/scooter sensors will automatically time stoppages in accordance with commuters’ schedules of travel.
IoT sensor and connectivity technology enables smarter traffic control systems that maximize energy efficiency through optimizing the timings of signals in real-time. The data that cameras and sensors can be pre-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 modeling and predictive analysis to prevent congestion, align the schedules of public transportation and reduce carbon emissions.
These advanced technologies can change the way we travel in urban areas. Smart e-bike/scooter sensors for instance, can identify and communicate the locations of personal vehicles that are shared for more convenient ride-sharing while micromobility payment systems permit on-street parking and road toll payments without the need for a change.
IoT smart traffic technology could also increase the efficiency of public transport and make it easier for commuters to track buses and trams in real time using live tracking apps. Intelligent intersection technology can prioritize emergency vehicles to help them get to their destination faster – an innovation that has already dramatically reduced the number of crashes in certain cities.