The invention discloses a subarea division and state recognition method based on macroscopic fundamental diagram/FCM clustering, and relates to the technical field of traffic control. Comprising the following steps: obtaining road section data through simulation or actual investigation, carrying out subarea division through an ACO ant colony algorithm and a fuzzy C-means algorithm, carrying out quantitative evaluation on subarea division through a road network MFD theory, and carrying out division and identification on road network traffic state grades through NJW spectral clustering and SVM; therefore, a high-density road network simulation environment based on Vissim software is constructed, a road network subarea division and evaluation method is analyzed, a road network traffic state grade division and identification method is provided, and a traffic control strategy of a road network boundary can be formulated.
本发明公开了一种基于宏观基本图/FCM聚类的子区划分及状态识别方法,涉及交通控制技术领域,包括以下步骤:通过仿真或实际调查获得路段数据、通过ACO蚁群算法和模糊C均值算法进行子区划分、通过路网MFD理论对子区划分进行量化评价、通过NJW谱聚类和SVM对路网交通状态等级进行划分和识别;从而构建了基于Vissim软件的高密度路网仿真环境,分析了路网子区划分与评价方法,提出了路网交通状态等级划分与识别方法,有助于制定路网边界的交通控制策略。
Sub-region division and state recognition method based on macroscopic fundamental diagram/FCM clustering
基于宏观基本图/FCM聚类的子区划分及状态识别方法
2023-09-22
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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