Prediction of uncertain passenger flow in scenic spots by fusing multi-source data and integrated learning

Key Points

• Uncertain passenger flow predictions enhance management strategies in scenic areas, improving visitor experiences.
• The integration of multi-source data and predictive modeling techniques offers significant insights.
• Analysis of diverse data sources allows for a more accurate representation of tourist patterns across seasons.
• This suggests that effective planning in scenic spots can significantly reduce congestion, benefiting both visitors and local businesses.

Abstract