Smart Technologies for Traffic Lights

Traffic lights aren’t the only exception. Virtually unchanged for more than a century, today’s American traffic lights are now in the age of machine learning. The result is a more efficient safer, more secure and eco-friendly transportation system. Traffic signal preemption is one way to help drivers to avoid a potentially life-threatening collision. A system that integrates traffic signals and e-bike/scooter sensors will automatically time stoppages so that they align with commuters‘ schedules of travel.

IoT sensors and connectivity technology allows intelligent traffic control systems that about his maximize energy efficiency by improving signal timings according to the current conditions. The data that cameras and sensors can be pre-processed on the device or sent to a traffic management hub where it is incorporated into AI-based algorithms. The result is more precise model and predictive analysis that can prevent congestion, coordinate schedules for public transportation, and decrease carbon emission.

These technologies are smart and could transform urban transport systems. Smart sensors for e-bikes or scooters for instance, can identify and communicate the location of shared vehicles to make ride-sharing more efficient. Micromobility payment systems however permit on-street parking or road tolls with no need for correct change.

Smart traffic technology based on IoT can also boost the efficiency of public transport and allow commuters to track buses and trams in real-time via live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so that they reach their destination faster this is a major breakthrough that has already reduced crash rate in certain cities.