城市道路交通流预测与交通状态识别方法研究

Study on the method of traffic flow prediction and traffic state recognition

打造智能交通系统是信息时代背景下我国交通事业发展的重点目标,而城市道路交通流预测与交通状态识别是实时了解城市道路交通状况的基础,对于实现智能化交通出行有着重要意义。为此,文章以克拉玛依地区为例,针对当前技术条件下的城市道路交通流预测方法以及交通状态识别方法展开具体论述,以便为各地区分析与探索交通流预测方法以及交通状态识别方法提供参考与借鉴。

To build an intelligent transportation system is the key goal of China’s transportation development under the background of the information age, and urban road traffic flow prediction and traffic state identification are the basis for real-time understanding of urban road traffic conditions, which is of great significance for the realization of intelligent transportation travel. For this reason, this paper takes Karamay area as an example, aiming at the current technical conditions of urban road traffic flow prediction methods and traffic state recognition methods, in order to provide reference for each area to analyze and explore traffic flow prediction methods and traffic state recognition methods.