What data sources are typically used in traffic prediction?
Traffic prediction relies on various data sources, including historical traffic data, real-time traffic feeds, GPS data from vehicles, weather conditions, and social media activity.
How does historical traffic data improve predictions?
Historical traffic data helps identify patterns and trends over time, allowing algorithms to make more accurate forecasts based on past behavior.
Are there any specific technologies used to gather this data?
Yes, technologies like IoT sensors, traffic cameras, and mobile apps are commonly used to collect real-time traffic data.
Can social media really impact traffic predictions?
Absolutely! Social media can provide insights into events, accidents, or road closures that may not be captured by traditional data sources.
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