Everything’s getting smarter these days, including traffic lights. In fact, after more than 100 years, the current American traffic signals have entered the age of machine learning. The result is an efficient, safer, and more sustainable transportation system. Technology for preemption of traffic signals for instance will help drivers avoid a life-threatening collision with pedestrians. And a system that integrates traffic light sensors and e-bike/scooter sensors will automatically time stops to align with commuters’ travel schedules.
IoT sensor and connectivity technologies help more intelligent https://technologytraffic.com/2022/08/12/best-data-rooms-providers-for-international-companies traffic control systems to maximize energy efficiency by optimizing signal timings based on real-time conditions. The data that cameras and sensors can be pre-processed on the device or sent to an infrastructure for traffic management, where it is integrated into AI-based algorithms. The result is more precise model and predictive analysis that can help to avoid congestion, coordinate schedules for public transportation, and decrease carbon emission.
These advanced technologies can transform urban transport systems. Smart e-bike and scooter sensors, for example, can detect and share the locations of personal vehicles that are shared to make it easier to share rides, while micromobility payment systems enable street parking and road toll payments without the need for correct changes.
Smart traffic technology based on IoT can also improve the efficiency of public transit by allowing commuters to track buses and trams in real-time via live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles, allowing them to reach their destination more quickly – an innovation that has already drastically decreased crash rates in certain cities.
