Journal of Sensors / 2016 / Article / Tab 1

Research Article

A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

Table 1

Computational result of 6 hours (12:00 am–6:00 pm).

HourPeriodForecasting risk valueActual risk valueGap

12:00 am16.36.53.08%
26.76.70.00%
36.76.92.90%
46.56.95.80%
56.97.35.48%
67.27.11.41%

1:00 pm76.86.54.62%
86.56.50.00%
96.76.28.06%
106.26.31.59%
116.76.44.69%
126.86.63.03%

2:00 pm137.36.95.80%
147.37.21.39%
157.57.24.17%
167.27.11.41%
177.17.21.39%
186.97.01.43%

3:00 pm196.66.82.94%
206.66.60.00%
216.36.21.61%
226.56.33.17%
236.46.51.54%
246.46.31.59%

4:00 pm256.56.41.56%
266.26.20.00%
276.05.83.45%
286.15.93.39%
295.95.81.72%
306.05.83.45%

5:00 pm316.56.33.17%
326.86.91.45%
337.06.91.45%
347.27.31.37%
357.57.32.74%
367.67.42.70%

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