聚类名称 Cluster name | 大小 Size | 同质性 Silhouette | 研究主题(对数似然比/P值) Top terms (log-likelihood/P-level) |
#0 car-following model | 52 | 0.781 | car-following model (12.43, 0.001); behavior (9.3, 0.005) weather conditions (6.19, 0.05) |
#1 traffic safety | 46 | 0.775 | traffic safety (12.04, 0.001); vehicle automation (8, 0.005) dispersion (8, 0.005) |
#2 traffic flow | 44 | 0.834 | traffic flow (17.25, 1.0E−4); traffic jams (7.71, 0.01) microscopic simulation (7.71, 0.01) cellular automaton (7.71, 0.01) |
#3 empirical speed distribution | 39 | 0.868 | empirical speed distribution (4.02, 0.05) freeway traffic (4.02, 0.05); lane-changing behavior (4.02, 0.05) three-phase traffic theory (4.02, 0.05) |
#4 fundamental diagram | 28 | 0.764 | fundamental diagram (8.27, 0.005) network fundamental diagram (9.73, 0.005) heterogeneous traffic (9.73, 0.005) |
#5 travel time | 27 | 0.97 | travel time (11.67, 0.001); platoon dispersion model (5.8, 0.05) shifted log-normal model (5.8, 0.05) recursive estimation (5.8, 0.05) |
#6 spatial vehicle distribution | 24 | 0.885 | spatial vehicle distribution (9.5, 0.005) convolutional neural network (9.5, 0.005) real-time crash risk analysis (9.5, 0.005) |
#7 traffic control strategy | 22 | 0.821 | traffic control strategy (5.52, 0.05) bayesian inference method (5.52, 0.05) trip length distribution (5.52, 0.05) |
#8 distributed optimization | 11 | 0.968 | distributed optimization (8.49, 0.005); algorithm (8.49, 0.005) control distribution (8.49, 0.005) anticipatory network traffic control (8.49, 0.005) |