Traffic lights are no exception. Virtually unchanged for more than 100 years, the current American traffic lights are now in the age of machine learning. This means a more efficient safe and environmentally friendly transportation world. Technology to prevent traffic signals, for example can help drivers avoid an injury-causing collision with pedestrians. And a system that integrates traffic lights and e-bike/scooter sensors can automatically time stops to align with commuters’ travel schedules.
IoT sensor and connectivity technology enables smarter traffic control systems which maximize energy efficiency by optimizing the timings of signals in real-time. The data that cameras and sensors can be processed on the device or transmitted to an automated traffic management hub where it is incorporated into AI-based algorithms. The result is more precise modeling and predictive analysis that will help prevent congestion, create schedules that align with public transport and reduce carbon emission.
These advanced technologies can revolutionize urban transportation systems. Smart e-bike/scooter sensors, for instance, can track and transmit the location of personal vehicles shared for more convenient ride-sharing, while micromobility payment systems permit street parking and road technologytraffic.com/2021/12/29/generated-post-3 toll payments without the need for correct change.
IoT smart traffic technology could also boost the efficiency of public transportation by allowing commuters to track trams and buses in real time using live tracking apps. And intelligent intersection technology can prioritize emergency vehicles to help them get to their destination faster – an innovation that has already dramatically decreased crash rates in certain cities.