Every aspect of life is becoming smarter including traffic signals. Virtually unchanged for more than 100 years, modern American traffic signals are now in the age of machine learning. The result is a faster, safer, and more sustainable transportation system. Preemption https://technologytraffic.com/2022/11/02/top-free-traffic-simulation-software-list/ of traffic signals is one way to assist drivers in avoiding potentially life-threatening collision. And a system that integrates traffic light sensors and e-bike/scooter sensors can automatically time stops so that they align with commuters’ travel plans.

IoT sensors and connectivity technologies help more intelligent traffic control systems to maximize energy efficiency by optimizing signal timings in accordance with actual conditions. The data that sensors and cameras can either be pre-processed in the device or sent to an appropriate hub for traffic management where it is integrated into AI algorithms. The results are more precise modeling and predictive analysis to avoid congestion, set the schedules of public transportation and reduce carbon emissions.

These technologies are smart and can change the way we travel in urban areas. Smart e-bike/scooter sensors, for example, can detect and communicate the location of shared personal vehicles for more convenient ride-sharing, while micromobility payment systems allow on-street parking and road toll payments without the need for a changes.

Smart traffic technology that is based on IoT can also boost the efficiency of public transport and allow commuters to track trams and buses in real-time via live tracking apps. And intelligent intersection technology can prioritize emergency vehicles to assist them reach their destination more quickly This innovation has already dramatically reduced crash rates in some cities.