基于相关向量机和模糊综合评价的路况预测模型

林浩,李雷孝,王慧,马志强,万剑雄

Model based on relevance vector machine and fuzzy comprehensive evaluation for road condition prediction

Hao LIN,Lei-xiao LI,Hui WANG,Zhi-qiang MA,Jian-xiong WAN

表 4 不同算法模型预测车流量的对比

Tab.4 Comparison of traffic flow predicted by different algorithms and models

算法模型 数据集1 数据集2 数据集3 MSE RMSE MAPE MSE RMSE MAPE MSE RMSE MAPE PSO-SVM 564.06 23.75 0.1624 251.54 15.86 0.1724 48.86 6.99 0.2701 LSTM 493.13 22.21 0.1435 234.37 15.31 0.1689 82.88 9.10 0.2702 GRU 495.68 22.26 0.1432 233.978 15.29 0.1676 83.10 9.12 0.2733 CNN-LSTM 483.18 21.92 0.1438 235.89 15.36 0.1663 82.43 9.08 0.2659 CNN-GRU[26] 487.46 22.07 0.1429 229.62 15.15 0.1648 82.44 9.08 0.2640 Bi-LSTM[27] 481.34 21.94 0.1545 223.13 14.94 0.1811 81.58 9.03 0.2703 GA-CKRVM[28] 433.53 20.82 0.1412 161.56 12.71 0.1616 62.24 7.76 0.2347 CNN-Bi-LSTM 477.35 21.84 0.1396 227.11 15.07 0.1622 81.79 9.04 0.2578 SPGAPSO-CKRVM 392.43 19.81 0.1383 161.1 12.69 0.1589 41.09 6.41 0.2232