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Traffic lights aren’t the only exception. The American traffic lights that have remained essentially unchanged for more than 100 years, are now controlled by machine learning. This means a more efficient safe and environmentally friendly transportation world. Traffic signal preemption, for example can assist drivers in avoiding potentially life-threatening collision. A system that integrates traffic signals and an e-bike/scooter sensor will automatically time stoppages to align with commuters’ daily schedules.

IoT sensor and connectivity technology enables smarter traffic control systems that maximize energy efficiency by optimizing signal timings in real time. The data that sensors and cameras can be processed by the device, or sent to a traffic management hub where it is incorporated into AI-based algorithms. The results are more precise modeling and predictive analysis to avoid congestion, set public transit schedules and cut carbon emissions.

These smart technologies can transform urban transportation systems. Smart sensors for e-bikes or scooters for instance, could detect and transmit the location of shared click this over here now personal vehicles to make ride sharing more comfortable. Micromobility payment systems however permit on-street parking or road toll payments with no requirement for changing the correct amount.

IoT smart traffic technology can also increase the efficiency of public transport and make it easier for commuters to track trams and buses in real time using live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles to assist them get to their destination quicker – an innovation that has already dramatically reduced the number of crashes in certain cities.