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These include ride-share scooters, which can be unlocked through apps and QR codes and paid for autonomous vehicles, as well as smart traffic signals. These devices can also be linked to each other and centralized systems through the use of sensors, low-power wireless networks (LPWAN) and eSIM cards.<br><br>In the end, information can be shared in real time and actions swiftly taken to reduce traffic congestion or road accidents. This is made possible by the use of sensors and advanced machine learning algorithms that analyze data to find patterns. These systems can also help predict trouble spots in the future and give drivers guidance on how to avoid them.<br><br>Many cities have already implemented smart mobility strategies to reduce pollution from air and traffic. Copenhagen for instance uses intelligent traffic signs that prioritize cyclists at rush hour to cut down on commute times and encourage cycling. 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