Every aspect of life is becoming smarter including traffic signals. The American traffic lights which have remained virtually unchanged for a century now are now dependent on machine learning. The result is a more efficient, safer and greener transportation world. Preemption of traffic signals, for example can assist drivers in avoiding a potentially life-threatening collision. And a system that integrates traffic light and e-bike/scooter sensors will automatically time stops so that they align with commuters’ travel plans.
IoT sensors and connectivity technologies help intelligent traffic control systems that maximize energy efficiency by optimizing signal timings based upon actual conditions. The data that cameras and sensors can be pre-processed on the device or transmitted to an automated traffic management hub where it is integrated into AI-based algorithms. The result is a more precise model and predictive analysis that can help to avoid congestion, coordinate schedules for public transport and reduce carbon emission.
These smart technologies can transform urban transport systems. Smart e-bike/scooter sensors for instance, can identify and transmit the location of personal vehicles shared by others to make ride sharing more efficient. Micromobility payment systems, on the other hand allow on-street parking and road toll payments with no requirement for accurate change.
Smart traffic technology based on IoT can also enhance the efficiency of public transport, allowing commuters to track trams and buses in real-time by using live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles so that they can get to their destination more quickly which has already reduced the number of crashes in some cities.
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