Can you explain how data analytics is used in transportation?
Sure! Data analytics in transportation involves collecting and analyzing data to improve efficiency, safety, and decision-making.
What types of data are typically analyzed?
Common data types include traffic patterns, vehicle performance, passenger behavior, and environmental conditions.
How does this data help in reducing traffic congestion?
By analyzing traffic data, cities can optimize traffic signals, improve public transport routes, and provide real-time updates to drivers.
Are there any real-world examples of this in action?
Yes, cities like Los Angeles and Singapore use data analytics to manage traffic flow and enhance public transportation systems.
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