Smart Technologies for Traffic Lights

Everything is getting smarter these days, including traffic lights. For the most part, unchanged for over 100 years, today’s American traffic lights are now undergoing machine learning. The result is a more efficient more sustainable, safer and greener transport 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 to coincide with commuter travel schedules.

IoT sensor and connectivity technology helps to build smarter traffic control systems which maximize energy efficiency through optimizing signal timings in real-time. The data that cameras and sensors can be pre-processed in the device itself or sent to an infrastructure for traffic management which will then be integrated into AI algorithms. The results are more precise modeling and predictive analysis to reduce congestion, align public transit schedules and cut carbon emissions.

These technologies are transforming urban transport systems. Smart e-bike and scooter sensors, for instance, can track and share the location of shared personal vehicles to facilitate more convenient ride-sharing while micromobility payment systems allow street parking and road-toll payments without the need for correct changes.

Smart traffic technology based on IoT can also improve the efficiency of public transport by allowing commuters to track buses and trams in real time via live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so they reach their destination faster – a breakthrough that has already reduced crash rate in some cities.

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