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Forecasting Airport Surface Traffic Congestion based on Decision Tree
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Zhaoyue Zhang, An Zhang, Cong Sun, Shanmei Li
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Table 4 Verification results |
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Sample number | Time | Time slot | Working day or not | Weather | Traffic | Holiday or not | Traffic volume in the previous period | Crowding state | Predictive state | 1 | 2014/12/21 | peak | no | influential | large | no | small | severe congestion | smooth | 2 | 2014/12/21 | low peak | yes | no influence | small | no | large | smooth | smooth | 3 | 2014/12/22 | peak | yes | no influence | large | no | large | smooth | smooth | 4 | 2014/12/23 | peak | yes | influential | small | no | large | slight congestion | slight congestion | 5 | 2014/12/23 | low peak | yes | influential | small | no | small | smooth | smooth | 6 | 2014/12/24 | low peak | yes | influential | small | yes | large | smooth | smooth | 7 | 2014/12/25 | peak | yes | no influence | large | yes | large | slight congestion | smooth | 8 | 2014/12/25 | low peak | yes | no influence | large | yes | small | smooth | smooth | 9 | 2014/12/26 | low peak | yes | no influence | large | no | large | smooth | smooth | 10 | 2014/12/27 | peak | no | no influence | small | no | large | smooth | moderate congestion |
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