Smart Technologies for Traffic Lights

Everything is getting smarter these days even traffic lights. The American traffic lights which have remained virtually unchanged for 100 years are now influenced by machine learning. The result is a more efficient safe and environmentally friendly transportation world. Traffic signal preemption technology, for example will help drivers avoid an injury-causing collision with pedestrians. And a system that integrates traffic light and e-bike/scooter sensors can automatically time stops so that they align with commuters’ schedules.

IoT sensor and connectivity technologies help smarter traffic control systems to maximize energy efficiency by optimizing signal timings based on actual conditions. The data from cameras and sensors can be processed in the device itself, or sent to a hub for traffic management where it is integrated into AI algorithms. The results are more precise analysis and predictive models to prevent congestion, align public transit schedules and cut carbon emissions.

These smart technologies can transform urban transport systems. Smart sensors for e-bikes and scooters, for instance, can track and transmit the location of shared vehicles for more convenient ride-sharing, micromobility payment systems can facilitate street parking and road-toll payments without the need for a changes.

Smart traffic technology that is based on IoT could also increase the efficiency of public transport and allow commuters to track buses and trams in real time through live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so that they reach their destination faster which has already reduced crash rates in certain cities.

https://technologytraffic.com/2022/11/02/top-free-traffic-simulation-software-list/