Every aspect of life is becoming smarter, including traffic lights. The American traffic lights that have remained essentially unchanged for 100 years is now controlled by machine learning. The result is a faster safer, safer, and sustainable transportation system. Preemption of traffic signals, for example can assist drivers in avoiding a potentially life-threatening collision. A system that incorporates traffic light sensors and e-bike/scooter sensors can automatically time stops to coincide with commuters’ travel plans.

IoT sensor and connectivity technologies enable smarter traffic control systems to maximize energy efficiency by technologytraffic.com/2022/04/28/turning-to-data-room-to-gain-a-competitive-advantage-in-ma optimizing signal timings based on real-time conditions. The data that sensors and cameras can be processed by the device, or sent to an automated traffic management hub where it is integrated into AI-based algorithms. The result is more precise and precise modeling as well as a predictive analysis that could help avoid congestion, improve schedules for public transit and reduce carbon emission.

These innovative technologies could transform urban transport systems. Smart e-bike/scooter sensors for instance, can detect and transmit the location of shared vehicles to make ride sharing more efficient. Micromobility payment systems, on the other hand, enable on-street parking or road tolls with no need for a change in the right amount.

IoT smart traffic technology could also boost the efficiency of public transportation making it easier for commuters to track trams and buses in real-time using live tracking apps. Intelligent intersection technology can help prioritize emergency vehicles so they arrive at their destination quicker which has already reduced crash rates in certain cities.