The invention discloses a traffic state estimation method, system and device, and relates to the technical field of traffic state estimation, and the method comprises the steps: obtaining a historical traffic flow data set of a current traffic road section; fuzzy logic is introduced into a Poisson process model, and the arrival rates of vehicles at different road sections are modeled; modeling a transition probability of a traffic flow state by using a Markov chain, introducing a dynamic transition matrix to capture changes of the traffic flow state in different time periods, and further constructing a fuzzy state transition model based on the Markov chain; a fuzzy joint probability density function is obtained by combining a fuzzy Poisson distribution model and a fuzzy state transition model based on a Markov chain, and the traffic flow state is estimated; according to the method, the vehicle track and the traffic state can be estimated in various complex traffic scenes by combining the two models.
本发明公开一种交通状态估计方法、系统及装置,涉及交通状态估计技术领域,该方法包括:获取当前交通路段的历史交通流数据集;通过将模糊逻辑引入泊松过程模型中,对车辆在不同路段的到达率进行建模;利用马尔可夫链建模交通流状态的转移概率,同时引入动态转移矩阵捕捉交通流状态在不同时间段的变化,进而搭建出基于马尔可夫链的模糊状态转移模型;通过结合模糊泊松分布模型与基于马尔可夫链的模糊状态转移模型,得到模糊化的联合概率密度函数,对交通流状态进行估计;该方法通过结合这两种模型,可以在多种复杂交通场景下,实现对车辆轨迹和交通状态的估计。
Traffic state estimation method, system and device
一种交通状态估计方法、系统及装置
25.04.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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