Smart Technologies for Traffic Lights

Traffic lights aren’t an exception. Almost unchanged for more than 100 years, modern American traffic lights have entered the age of machine learning. The result is a more efficient safer, more secure and environmentally friendly transportation world. Preemption of traffic signals is one way to 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 technology helps to build smarter traffic control systems which maximize energy efficiency by optimizing signal timings in real time. The data that sensors and cameras can be pre-processed on the device or transmitted to an automated traffic management hub where it is incorporated into AI-based algorithms. The result is a more precise model and predictive analysis that can prevent congestion, coordinate schedules for public transport and reduce carbon emissions.

These innovative technologies could transform urban transport systems. Smart e-bike/scooter sensors, for instance, can identify and transmit the locations of personal vehicles that are shared for more convenient ride-sharing while micromobility payment systems allow street parking and road toll payment without the need to change.

IoT smart traffic technology can also boost the efficiency of public transportation making it easier for commuters to track trams and buses in real time using live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles, allowing them to get to their destination faster – an innovation that has already dramatically decreased crash rates in certain cities.

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