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Smart Technologies for Traffic Lights

Traffic lights aren’t the only exception. The American traffic lights that have remained nearly unchanged for 100 years are now being controlled by machine learning. The result is a faster, safer, and more eco-friendly transportation system. Technology for preemption of traffic signals for instance can help drivers avoid dangerous collisions with pedestrians. A system that integrates traffic lights and e-bike/scooter sensor can automatically time stoppages to align with commuters’ schedules of travel.

IoT sensor and connectivity technologies help smarter traffic control systems that maximize energy efficiency by optimizing signal timings based on the current conditions. The data that cameras and sensors can be processed on the device or transmitted to a traffic management hub where it is integrated into AI-based algorithms. The results are more precise modeling and predictive analysis to reduce congestion, align public transit schedules and cut carbon emissions.

These smart technologies have the potential to change the way we travel in urban areas. Smart sensors for e-bikes and scooters for instance, could detect and communicate location of personal vehicles shared by others to make ride sharing more practical. Micromobility payment systems on the other hand allow on-street parking and road tolls, without the need for correct change.

IoT smart traffic technology could also improve public transit efficiency and make it easier for commuters to track buses and trams in real-time by using live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so they get to their destination faster which has already reduced crash rate in certain cities.