Everything’s getting smarter these days and that includes traffic lights. The American traffic lights that have remained nearly unchanged for over 100 years are now being affected by machine learning. The result is a faster safer, more secure and eco-friendly transportation system. Traffic signal preemption, for example can help drivers to avoid a potentially life-threatening collision. A system that combines traffic lights and e-bike/scooter sensors will automatically time stoppages to align with commuters’ timetables.
IoT sensor and connectivity technologies allow smarter traffic control systems to maximize energy efficiency by optimizing signal timings based upon actual conditions. The data that sensors and cameras can be processed by the device, or sent to a traffic management hub which is then integrated into AI-based algorithms. The results are more precise analysis and predictive modeling to prevent congestion, align public transportation schedules, and reduce carbon emissions.
These technologies are transforming urban transport systems. Smart e-bike/scooter sensor for instance, could detect and communicate the location of shared vehicles to make ride sharing more efficient. Micromobility payment systems on the other hand allow on-street parking and road tolls without the requirement for accurate change.
Smart traffic technology that is based on IoT can also enhance the efficiency of public transport, allowing commuters to track buses and trams in real time through live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles in order to help them get to their destination faster This is an innovation that has already dramatically reduced the rate of crashes Learn More Here in a few cities.