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Key areas risk forecasting plays an important roles in safety management in high-speed railway transport hub. In this paper, a temporal-based risk forecasting approach was considered for key areas on surveillance sensor networks. Computational experiments on a specific key area in high-speed railway transport hub were conducted to illustrate the proposed approach. The results showed the temporal-based forecasting approach is effective and efficient for key areas risk forecasting in high-speed railway transport hub. KeywordsSurveillance Sensor Networks; Temporal-Based, Forecasting; High-speed railway transport hub

Temporal-Based Risk Forecasting Approach for Key Areas on Surveillance Sensor Networks of High-Speed Railway Transport Hub