08 Aug Smart Technologies for Traffic Lights
Everything’s getting smarter these days, including traffic lights. Virtually unchanged for more than a century, today’s American traffic lights have entered the era of machine learning. This means a more efficient more sustainable, safer and greener transport world. Traffic signal preemption is one way to assist drivers in avoiding a potentially life-threatening collision. A system that incorporates traffic lights and e-bike/scooter sensor will automatically time stops to coincide with commuters’ travel schedules.
IoT sensor and connectivity technologies allow smarter traffic control systems to maximize energy efficiency by optimizing signal timings in accordance with real-time conditions. The data collected by sensors and cameras can be processed on the device or sent to a traffic management hub which is then integrated into AI-based algorithms. The results are more precise analysis and predictive models to avoid congestion, set the schedules of public transportation and reduce carbon emissions.
These innovative technologies could transform urban transportation systems. Smart e-bike/scooter sensors for instance, are able to detect and share the location of shared vehicles for more convenient ride-sharing while micromobility payment systems allow on-street parking and road toll payments without the need for a 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 with live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles to assist them reach their destination more quickly This is an innovation that has already drastically reduced the rate of crashes in a few cities.
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