Everything is getting smarter these days, including traffic lights. The American traffic lights that have remained nearly unchanged for more than 100 years is now dependent on machine learning. The result is a more efficient safe and environmentally friendly transportation world. Preemption of traffic signals for instance, can help drivers to avoid a potentially life-threatening collision. A system that integrates traffic signals and an e-bike/scooter sensor will automatically time stoppages in accordance with commuters’ timetables.
IoT sensor and connectivity technology allows smarter traffic control systems to maximize energy efficiency by optimizing signal timings based on real-time conditions. The data from sensors and cameras can either be processed within the device itself or transmitted to an infrastructure for traffic management and then integrated into AI algorithms. The results are more precise analysis and predictive models to avoid congestion, coordinate public transit schedules and cut carbon emissions.
These smart technologies can transform urban transport systems. Smart e-bike/scooter sensors, for example, can detect and share the location of shared personal vehicles to facilitate more convenient ride-sharing while micromobility payment systems enable parking on the street and road toll payments without needing correct changes.
Smart traffic technology based on IoT can also enhance the efficiency of public transit and allow commuters to track buses and trams in real time via live tracking applications. And intelligent intersection technology can prioritize emergency vehicles to help them get to their destination faster This innovation has already dramatically reduced the number of crashes in certain cities.