Everything is getting smarter these days even traffic lights. The American traffic lights which have remained virtually unchanged for more than a century now, are now affected by machine learning. This means a more efficient safe and environmentally friendly transportation world. Preemption of traffic signals for instance, can assist drivers in avoiding potentially life-threatening collision. A system that integrates traffic lights and e-bike/scooter sensors will automatically time stoppages so that they align with commuters’ timetables.
IoT sensor and connectivity technology makes it possible to navigate to this site create intelligent traffic control systems that maximize energy efficiency by optimizing the timings of signals in real-time. The data collected by cameras and sensors can be processed by the device, or sent to a traffic management hub which is then integrated into AI-based algorithms. The result is more precise modeling and a predictive analysis that can help to avoid congestion, coordinate schedules for public transportation, and decrease carbon emission.
These innovative technologies could transform urban transport systems. Smart e-bike/scooter sensors, for example can detect and communicate the location of shared vehicles to make ride sharing more efficient. Micromobility payment systems however, enable on-street parking or road tolls with no need for correct change.
Smart traffic technology based on IoT can also boost the efficiency of public transport which allows commuters to follow buses and trams in real-time by using live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles to ensure they reach their destination faster This is a breakthrough that has already reduced crash rates in some cities.