smart technologies for traffic

Everything’s getting smarter these days and that includes traffic lights. The American traffic lights, which have remained virtually unchanged for more than 100 years, are now influenced by machine learning. The result is a more efficient safer, more secure, and environmentally friendly transportation world. Technology for preventing traffic signals for instance will help drivers avoid the possibility of a fatal collision with pedestrians. A system that combines traffic light and e-bike/scooter sensors will automatically time stops so that they align with commuter travel schedules.

IoT sensor and connectivity technologies enable more intelligent traffic control systems to maximize energy efficiency by optimizing signal timings in accordance with actual conditions. The data gathered from cameras and sensors can be pre-processed in the device itself, or sent to the traffic management hub which will then be integrated into AI algorithms. The result is a more precise modeling and a predictive analysis that can prevent congestion, create schedules that align with public transportation, and decrease carbon emission.

These advanced technologies are able to transform urban transport systems. Smart sensors for e-bikes and scooters, for instance, can identify and communicate the location of personal vehicles shared for more convenient ride-sharing, while micromobility payment systems enable street parking and road-toll payments without needing correct change.

Smart traffic technology based on IoT can also improve the efficiency of public transit by allowing commuters to track trams and buses in real-time via live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles in order to help them get to their destination faster this innovation has already dramatically decreased crash rates in certain cities.