Everything’s getting smarter these days and that includes traffic lights. The American traffic lights that have remained essentially unchanged for over a century now are now being controlled by machine learning. The result is an efficient safer, more secure and environmentally friendly transportation world. Preemption of traffic signals is one example. It can help drivers to avoid a potentially life-threatening collision. And a system that integrates traffic light and e-bike/scooter sensors can successful ai tools for business to test now automatically time stops to coincide with commuters’ travel plans.
IoT sensor and connectivity technology allows more intelligent traffic control systems to maximize energy efficiency by improving signal timings according to the current conditions. The data that cameras and sensors can be pre-processed in the device itself, or sent to a hub for traffic management which will then be integrated into AI algorithms. The results are more precise analysis and predictive models to avoid congestion, set public transit schedules and cut carbon emissions.
These technologies are transforming urban transport systems. Smart e-bike/scooter sensor for instance, can detect and transmit the 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 need for a change in the right amount.
IoT smart traffic technology could enhance the efficiency of public transit and make it easier for commuters to track trams and buses in real-time using live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles 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.
