Everything’s getting smarter these days including traffic signals. The American traffic lights, which have remained virtually unchanged for over 100 years are now being influenced by machine learning. This results in a more 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 will automatically time stops so that they align with commuter travel schedules.
IoT sensors and connectivity technologies enable intelligent traffic control systems that maximize energy efficiency by optimizing signal timings based upon actual conditions. The data collected by sensors and cameras can be pre-processed on the device or transmitted to an automated traffic management hub where it is integrated into AI-based algorithms. The results are more precise modeling and predictive analysis to avoid congestion, coordinate public transportation schedules, and reduce carbon emissions.
These innovative technologies could transform urban transportation systems. Smart sensors for e-bikes and scooters, for example, can detect and transmit the location of personal vehicles shared for more convenient ride-sharing while micromobility payment systems allow parking on the street and road toll payments without needing correct change.
Smart traffic technology that is based on IoT can also improve the efficiency of public transportation which allows commuters to follow buses and trams in real time via live tracking apps. Intelligent intersection technology investigate this site could help prioritize emergency vehicles so they can get to their destination more quickly this is a major breakthrough that has already reduced the number of crashes in certain cities.