Smart Technologies for Traffic Lights

Everything’s getting smarter these days, including traffic lights. Virtually unchanged for more than 100 years, the current American traffic lights have entered the age of machine learning. The result is a more efficient safer, safer, and eco-friendly transportation system. Preemption of traffic signals is one way to help drivers to avoid a potentially life-threatening collision. A system that incorporates traffic light sensors and e-bike/scooter sensors can automatically time stops so that they align with commuters’ travel plans.

IoT sensor and connectivity technologies help more intelligent traffic control systems to maximize energy efficiency by optimizing signal timings based upon actual conditions. The data gathered from cameras and sensors can be processed in the device itself or transmitted to a hub for traffic management where it is integrated into AI algorithms. The results are more precise analysis and predictive modeling to prevent congestion, align public transit schedules and reduce carbon emissions.

These technologies are transforming urban transportation systems. Smart e-bike/scooter sensors for instance, can identify and transmit the location of personal vehicles shared for more convenient ride-sharing while micromobility payment systems permit parking on the street and road toll payments without the need for correct change.

Smart traffic technology that is based on IoT could also increase the efficiency of public transportation and allow commuters to track buses and trams in real time through live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles to assist them get to their destination faster – an innovation that has already dramatically decreased crash rates in certain cities.

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