How can data analysis help in reducing traffic congestion?
Data analysis can identify traffic patterns, peak hours, and accident hotspots, allowing for better traffic management.
What kind of data is typically analyzed for this purpose?
Common data includes traffic volume, speed, accident reports, and public transport usage statistics.
Can you give an example of a city that successfully used data analysis for this?
Yes, cities like Los Angeles have implemented data-driven traffic management systems that significantly reduced congestion.
What technologies are used in this data analysis?
Technologies like machine learning, IoT sensors, and traffic simulation software are commonly used.
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