基于最优汇集时间间隔的城市间断交通流预测
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王殿海,谢瑞,蔡正义
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Prediction of urban interrupted traffic flow based on optimal convergence time interval
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Dian-hai WANG,Rui XIE,Zheng-yi CAI
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| 表 1 不同预测模型在交叉口1的预测MAE对比 |
| Tab.1 Comparison of MAE predicted by different prediction models at intersection 1 |
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| 转向 | 统计学 | | 机器学习 | | 深度学习 | | HA | ARIMA | SVR | KNN | CapsNet | GRU | STAWnet | LSTM_BConv | | S_L | 3.35 | 3.97 | | 3.24 | 3.30 | | 3.36 | 3.12 | 3.04 | 3.06 | | S_S | 7.81 | 11.35 | 7.54 | 8.06 | 9.87 | 7.30 | 7.92 | 7.23 | | N_L | 3.08 | 3.53 | 2.98 | 3.09 | 3.01 | 2.93 | 2.89 | 2.87 | | N_S | 9.59 | 13.75 | 9.26 | 9.53 | 12.43 | 8.65 | 9.48 | 8.61 | | W_L | 3.10 | 4.25 | 3.20 | 3.30 | 4.05 | 3.06 | 3.02 | 3.01 | | W_S | 1.72 | 1.92 | 1.69 | 1.74 | 1.81 | 1.60 | 1.64 | 1.58 | | E_L | 2.23 | 2.26 | 2.15 | 2.19 | 2.14 | 2.05 | 2.07 | 2.03 | | E_S | 3.91 | 3.87 | 3.60 | 3.72 | 3.69 | 3.48 | 3.62 | 3.41 | | Mean | 4.35 | 5.61 | 4.21 | 4.37 | 5.05 | 4.02 | 4.21 | 3.98 |
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