technologytraffic.com/2021/07/08/generated-post-2
Traffic lights aren’t the only exception. The American traffic lights, which have remained virtually unchanged for more than 100 years are now dependent on machine learning. The result is an efficient, safer and greener transportation world. Technology for preemption of traffic signals, for example can assist drivers in avoiding a life-threatening collision with pedestrians. A system that combines traffic light and e-bike/scooter sensors will automatically time stops to align with commuters’ travel schedules.
IoT sensors and connectivity technologies help smarter traffic control systems to maximize energy efficiency by improving signal timings according to real-time conditions. The data collected from sensors and cameras can either be processed within the device itself or transmitted to the traffic management hub which will then be integrated into AI algorithms. The result is more precise model and predictive analysis that will help prevent congestion, improve schedules for public transit and reduce carbon emission.
These smart technologies have the potential to change the way we travel in urban areas. Smart e-bike/scooter sensors, for instance, can identify and transmit the location of personal vehicles shared to facilitate more convenient ride-sharing micromobility payment systems can facilitate parking on the street and road toll payments without the need for correct changes.
Smart traffic technology based on IoT could also increase the efficiency of public transport by allowing commuters to track buses and trams in real time via live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles so that they reach their destination faster This is a breakthrough that has already reduced crash rates in some cities.
