08 Aug Smart Technologies for Traffic Lights
Traffic lights aren’t an exception. The American traffic lights that have remained essentially unchanged for 100 years, are now controlled by machine learning. The result is an efficient more sustainable, safer and greener transport world. Traffic signal preemption technology, for example can assist drivers in avoiding a life-threatening collision with pedestrians. A system that integrates traffic signals and an e-bike/scooter sensor will automatically schedule stoppages to coincide with commuters’ daily schedules.
IoT sensor and connectivity technology allows for more intelligent traffic control systems that maximize energy efficiency by optimizing the timings of signals in real-time. The data that cameras and sensors can be pre-processed on the device or sent to a traffic management hub which then integrates it into AI-based algorithms. The result is more precise and precise modeling as well as a predictive analysis that will help prevent congestion, create schedules that align with public transit and reduce carbon emissions.
These smart technologies can transform urban transportation systems. Smart e-bike/scooter sensors for instance, could detect and share the location of personal vehicles shared by others to make ride-sharing more practical. Micromobility payment systems on the other hand permit on-street parking or road tolls, without the requirement for accurate change.
Smart traffic technology that is based on IoT can also boost the efficiency of public transportation by allowing commuters to track buses and trams in real-time through live tracking apps. And intelligent intersection technology can prioritize emergency vehicles to help them get to their destination faster This innovation has already dramatically reduced the rate of crashes in a few cities.
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