Everything’s getting smarter these days and that includes traffic lights. Virtually unchanged for more than 100 years, the current American traffic lights are now undergoing machine learning. The result is a more efficient safer, more secure and green transportation system. Preemption of traffic signals is one example. It can assist drivers in avoiding a potentially life-threatening collision. And a system that integrates traffic light sensors and e-bike/scooter sensors will automatically time stops so that they align with commuters’ schedules.
IoT sensors and connectivity technologies allow more intelligent traffic control systems to maximize energy efficiency by optimizing signal timings based upon actual conditions. The data gathered by sensors and cameras can be processed on the device or transmitted to an infrastructure for traffic management, where it is incorporated into AI-based algorithms. The results are more precise analysis and predictive models to avoid congestion, coordinate the schedules of public transportation and reduce carbon emissions.
These technologies are smart and are able to transform the urban transport system. Smart e-bike/scooter sensors for instance, can identify and communicate the location of shared personal vehicles for more convenient ride-sharing, while micromobility payment systems permit street parking and road-toll payment without the need to change.
IoT smart traffic technology can enhance the efficiency of public transit and make it easier for commuters to track buses and trams in real-time by using live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles, allowing them to reach their destination more technologytraffic.com/2021/07/08/generated-post/ quickly – an innovation that has already drastically reduced the rate of crashes in a few cities.