technologytraffic.com/2022/04/28/turning-to-data-room-to-gain-a-competitive-advantage-in-ma
Traffic lights aren’t the only exception. The American traffic lights, which have remained virtually unchanged for more than a century now is now dependent on machine learning. The result is a more efficient and safer transportation world. Traffic signal preemption, for example can assist drivers in avoiding potentially life-threatening collision. 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 technologies allow more intelligent traffic control systems to maximize energy efficiency by optimizing signal timings based on real-time conditions. The data collected by sensors and cameras can be pre-processed on the device or sent to a traffic management hub, where it is incorporated into AI-based algorithms. The results are more precise modeling and predictive analysis to avoid congestion, coordinate public transit schedules and cut carbon emissions.
These smart technologies have the potential to change the way we travel in urban areas. Smart e-bike/scooter sensors for instance, could detect and communicate location of shared vehicles to make ride-sharing more convenient. Micromobility payment systems on the other hand permit on-street parking or road toll payments with no need for a change in the right amount.
Smart traffic technology based on IoT can also improve the efficiency of public transit and allow commuters to track trams and buses in real-time by using live tracking apps. Intelligent intersection technology can assist prioritize emergency vehicles so that they arrive at their destination quicker – a breakthrough that has already reduced crash rates in certain cities.