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 2 不同预测模型在交叉口1的预测RMSE对比 |
| Tab.2 Comparison of RMSE 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 | 4.24 | 4.91 | | 4.09 | 4.15 | | 4.21 | 3.91 | 3.84 | 3.82 | | S_S | 10.25 | 14.24 | 9.85 | 10.37 | 12.20 | 9.47 | 10.09 | 9.36 | | N_L | 3.85 | 4.37 | 3.71 | 3.83 | 3.71 | 3.64 | 3.62 | 3.57 | | N_S | 12.27 | 16.74 | 11.84 | 12.09 | 15.04 | 11.21 | 12.23 | 11.19 | | W_L | 3.98 | 5.26 | 4.07 | 4.20 | 5.16 | 3.94 | 3.89 | 3.88 | | W_S | 2.09 | 2.39 | 2.04 | 2.10 | 2.17 | 1.99 | 2.00 | 1.94 | | E_L | 2.76 | 2.83 | 2.63 | 2.70 | 2.62 | 2.51 | 2.53 | 2.48 | | E_S | 4.75 | 4.80 | 4.39 | 4.55 | 4.49 | 4.23 | 4.41 | 4.17 | | Mean | 5.52 | 6.94 | 5.33 | 5.50 | 6.20 | 5.11 | 5.33 | 5.05 |
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