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A Road Network Traffic State Identification Method Based on Macroscopic Fundamental Diagram and Spectral Clustering and Support Vector Machine

机译：一种基于宏观基础图和光谱聚类和支持向量机的道路网络流量状态识别方法

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Xiaohui Lin;
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1. A Road Network Traffic State Identification Method Based on Macroscopic Fundamental Diagram and Spectral Clustering and Support Vector Machine [J] . Lin Xiaohui Mathematical Problems in Engineering . 2019,第9期

机译：基于宏观基本图和谱聚类与支持向量机的路网交通状态识别方法
2. A Road Network Traffic State Identification Method Based on Macroscopic Fundamental Diagram and Spectral Clustering and Support Vector Machine [J] . Xiaohui Lin Mathematical Problems in Engineering: Theory, Methods and Applications . 2019,第1期

机译：一种基于宏观基础图和光谱聚类和支持向量机的道路网络流量状态识别方法
3. Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control [J] . Isik Ilber Sirmatel, Nikolas Geroliminis Control Engineering Practice . 2021,第Apra期

机译：基于宏观基础图的模型预测周边控制稳定城市规模道路交通网络
4. Threshold Division of Urban Road Network Traffic State Based on Macroscopic Fundamental Diagram and K-Means Clustering [C] . Yihong Dai, Weike Lu, Hao Huang, International conference on transportation engineering . 2020

机译：基于宏观基础图的城市道路网络交通状态阈值划分和K均值聚类
5. Macroscopic Fundamental Diagram (MFD) Estimation Based on Vehicle-to-Infrastructure (V2I) Connected Vehicle Data [D] . Xu, Zhe. 2016

机译：基于车辆到基础设施（V2I）连接的车辆数据的宏观基本图（MFD）估计
6. Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling Least Squares Support Vector Machine and Artificial Neural Networks [O] . Mohammad Sadegh Mazloom, Farzaneh Rezaei, Abdolhossein Hemmati-Sarapardeh, 2020

机译：基于人工智能的纳米复合材料吸附沥青质的方法：数据处理最小二乘支持向量机和人工神经网络的分组方法的应用
7. Traffic State Evaluation based on Macroscopic Fundamental Diagram of Urban Road Network [O] . Xu Feifei, He Zhaocheng, Sha Zhiren, 2013

机译：基于城市路网宏观基本图的交通状态评价

A Road Network Traffic State Identification Method Based on Macroscopic Fundamental Diagram and Spectral Clustering and Support Vector Machine

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