Traffic lights aren’t the only exception. The American traffic lights that have remained nearly unchanged for 100 years, are now controlled by machine learning. The result is a more efficient safer, more secure and sustainable transportation system. Traffic signal preemption for instance, can help drivers to avoid a potentially life-threatening collision. A system that combines traffic light and e-bike/scooter sensors can automatically time stops so that they align with commuter travel schedules.
IoT sensors and connectivity technologies enable more intelligent traffic control systems to maximize energy efficiency by improving signal timings according to actual conditions. The data that cameras and sensors can be processed within the device itself or transmitted to the traffic management hub and then technologytraffic.com/2020/05/21/the-benefits-of-using-modern-traffic-technologies-by-data-room/ integrated into AI algorithms. The result is more precise model and predictive analysis that can prevent congestion, align schedules for public transportation and reduce carbon emission.
These advanced technologies could transform urban transport systems. Smart e-bike/scooter sensor for instance, could detect and transmit the location of shared vehicles to make ride sharing more convenient. Micromobility payment systems on the other hand permit on-street parking or road toll payments with no requirement for changing the correct amount.
Smart traffic technology that is based on IoT can also boost the efficiency of public transit which allows commuters to follow trams and buses in real-time via live tracking applications. Intelligent intersection technology can prioritize emergency vehicles in order to help them reach their destination more quickly This is an innovation that has already dramatically decreased crash rates in certain cities.