Topics surrounding efficient public transport are at the top of the agenda in urban centres globally. Traffic congestion has increased by 23% since 2008; people in large cities such as Los Angeles spend an average of 100 hours a year in traffic jams. The United Nations estimates that the world’s population will swell to 11.8 billion by the year 2100.
With a majority of this growth occurring in urban centres, implementing more efficient public mobility solutions will be even more important. Could artificial intelligence (AI) be the key to unlocking optimal transport solutions?
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