Smart Technologies for Traffic Lights

Traffic lights aren't the only exception. Virtually unchanged for more than 100 years, modern American traffic signals are now undergoing machine learning. The result is a more efficient, safer and greener transportation world. Preemption of traffic signals for instance, can assist drivers in avoiding a potentially life-threatening collision. A system that integrates traffic lights and e-bike/scooter sensors will automatically time stoppages to align with commuters' schedules of travel.

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

These advanced technologies can transform the urban transport system. Smart e-bike/scooter sensors for instance, can identify and share the location of shared personal vehicles to make ride sharing more efficient. Micromobility payment systems however permit parking on the street or road tolls with no requirement for accurate change.

Smart traffic technology that is based on IoT can also enhance the efficiency of public transport which allows commuters to follow buses and trams in real time by using live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so they arrive at their destination quicker technologytraffic.com/2021/12/29/generated-post-3 This is a breakthrough that has already reduced the number of crashes in some cities.