What are some machine learning algorithms used in transportation?
Some common algorithms include decision trees, neural networks, and support vector machines.
How do these algorithms improve traffic management?
They analyze traffic patterns and predict congestion, allowing for better route planning and signal control.
Can you give an example of a real-world application?
Sure! Companies like Uber use machine learning to optimize ride-sharing routes and reduce wait times.
What challenges do these algorithms face in transportation?
Challenges include data quality, real-time processing, and the need for continuous learning from new data.
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