Everything’s getting smarter these days even traffic lights. In fact, after more than 100 years, modern American traffic signals are now undergoing machine learning. The result is an efficient and safer transportation world. Traffic signal preemption is one way to assist drivers in avoiding a potentially life-threatening collision. A system that integrates traffic signals and an e-bike/scooter sensor will automatically schedule stoppages to coincide with commuters’ timetables.
IoT sensor and connectivity technology allows smarter traffic control systems to maximize energy efficiency by improving signal timings according to actual conditions. The data gathered from sensors and cameras can either be processed within the device or sent to an infrastructure for traffic management where it is integrated into AI algorithms. The results are more precise modeling and predictive analysis to avoid congestion, coordinate public transportation schedules, and reduce carbon emissions.
These technologies are smart and are able 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 allow street parking and road toll payments without the need for correct changes.
IoT smart traffic technology can also boost the efficiency of public transportation making it easier for commuters to track buses and trams in real-time using live tracking apps. And intelligent intersection technology can prioritize emergency vehicles, allowing them to get to their destination faster – an innovation that has already dramatically decreased crash rates in certain cities.