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2026-09-27T09:35:53.000Z

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AI faces "pain" in new study

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Smart maps and urban traffic challenges

Smart maps and urban traffic challenges

The study explains that navigation applications such as "Google Maps" and "Waze" rely on algorithms that direct vehicles along the fastest routes, which sometimes leads to increased congestion on main roads and shifts traffic to residential neighborhoods not designed for such volume. Research indicates that when drivers increasingly depend on these apps—especially when the reliance exceeds 40%—the variety of routes decreases, resulting in a concentration of emissions and traffic on fewer roads. Studies also show that efficiency in movement begins to improve when about 30-60% of drivers adopt dynamic routing, which can significantly reduce travel times and emissions. Researchers warn that adding new roads often ends up increasing overall travel time due to a well-known mathematical paradox called the "Braess Paradox," where individual route choices cause greater congestion for all drivers. Therefore, the solution lies in redesigning algorithms to organize traffic distribution more effectively through coordination between applications and cities. Implementing economic tools like road pricing can also help alleviate pressure and optimize traffic flow.

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