Everything’s getting smarter these days, including traffic lights. The American traffic lights which have remained virtually unchanged for more than 100 years, are now affected by machine learning. This means a more efficient more sustainable, safer and greener transport world. Traffic signal preemption, for example can help drivers to avoid a potentially life-threatening collision. A system that integrates traffic signals and an e-bike/scooter sensors can automatically time stoppages to align with commuters’ daily schedules.

IoT sensor and connectivity technologies allow smarter traffic control systems that maximize energy efficiency by improving signal timings according to the current conditions. The data that cameras and sensors can be processed on the device or transmitted to an infrastructure for traffic management, which then integrates it into AI-based algorithms. The result is a more precise modeling and a predictive analysis that could help avoid congestion, create schedules that align with public transit and reduce carbon emission.

These advanced technologies can change the way we travel in urban areas. Smart e-bike/scooter sensors for instance, can detect and transmit the location of personal vehicles shared by others to make ride-sharing more comfortable. Micromobility payment systems on the other hand, enable on-street parking or road tolls, without the need for a change in the right amount.

IoT smart traffic technology can also improve public transit efficiency making it easier for commuters to moved here track trams and buses in real-time with live tracking apps. And intelligent intersection technology can prioritize emergency vehicles to help them reach their destination more quickly – an innovation that has already drastically reduced crash rates in some cities.