How accurate are current traffic models in predicting congestion?
Current traffic models have improved significantly, with accuracy rates often exceeding 80% in urban areas.
What factors affect the accuracy of these models?
Factors include data quality, real-time updates, road conditions, and the algorithms used for predictions.
Are there any specific models that are considered the best?
Some of the top models include the Dynamic Traffic Assignment (DTA) and the Simulation-based models, known for their precision.
How do these models handle unexpected events like accidents?
They use real-time data feeds to adjust predictions, but their effectiveness can vary based on the speed of data integration.
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