网络级道路交通运行状态的深度学习识别方法

罗义凯,辛苡琳,徐金华,陈桂珍,李岩

Deep learning method for recognizing network-level road traffic state

Yikai LUO,Yilin XIN,Jinhua XU,Guizhen CHEN,Yan LI

表 2 不同模型对时空单元的聚类效果评估

Tab.2 Evaluation of spatiotemporal unit clustering by different models

模型 $ {S}_{{\mathrm{c}}} $ $ {C}_{{\mathrm{h}}} $ K-means 0.492 2 65 713.11 FCM 0.469 1 68 899.26 RF-K-means 0.684 5 92 241.37 AE-K-means 0.711 6 117 002.29 TS-DEC 0.886 3 204 168.57