Smart Technologies for Traffic Lights
Traffic lights aren’t the only exception. For the most part, unchanged for over a century, today’s American traffic lights are now in the age of machine learning. This means a more efficient and safer transportation world. Technology for preventing traffic signals for instance can help technologytraffic.com/2020/05/01/modern-traffic-technologies-by-board-room/ drivers avoid a life-threatening collision with pedestrians. A system that combines traffic lights and e-bike/scooter sensors will automatically time stops to align with commuters’ schedules.
IoT sensor and connectivity technologies help intelligent traffic control systems that maximize energy efficiency by optimizing signal timings based upon actual conditions. The data collected from sensors and cameras can either be processed within the device itself, or sent to an appropriate hub for traffic management which will then be integrated into AI algorithms. The results are more precise modeling and predictive analysis to avoid congestion, coordinate the schedules of public transportation and reduce carbon emissions.
These smart technologies have the potential to change the way we travel in urban areas. Smart sensors for e-bikes or scooters for instance, can identify and communicate location of shared vehicles to make ride sharing more practical. Micromobility payment systems on the other hand permit on-street parking or road toll payments with no requirement for accurate change.
IoT smart traffic technology can also increase the efficiency of public transport by allowing commuters to track buses and trams in real-time by using live tracking apps. And intelligent intersection technology can prioritize emergency vehicles in order to help them get to their destination quicker This is an innovation that has already dramatically reduced the rate of crashes in a few cities.