摘要
短时交通流预测是交通诱导与控制的关键技术之一。针对目前无检测器路口交通流预测研究相对较少的情况,提出了一种基于模糊推理的无检测器路口交通流预测方法,即在研究交叉口相关性的基础上,确定关键路口,通过模糊化交通流数据得到无检测器路口与关键路口的模糊关系,接着用模糊推理法得到关键路口对无检测器路口的流量查询表,无检测器路口的流量预测直接由流量查询表得出。采用该方法对合肥市实际路口的交通流量进行预测,实验结果证明了该方法的有效性、可行性。
The short- term forecasting of traffic flow is one of the key techniques in traffic route guidance and control. The research on non - detector intersection traffic flow forecasting is relatively scarce, so an approach based on fuzzy inference is put forward for non - detector intersection traffic flow forecasting. First, the critical intersection is elicited based on correlation analysis, and then the fuzzy relation between critical intersection and non - detector intersection is found. Finally, the fuzzy inference methods are used to get flow query table, and the non - detector intersection traffic flow is directly found by the table. The experiment results demonstrate that the method proposed in this paper is effective and applicable.
出处
《计算机仿真》
CSCD
2008年第6期240-243,共4页
Computer Simulation
基金
安徽省“十一五”科技攻关重点项目(07010202049)
关键词
模糊推理
短时交通流
预测
相关分析
Fuzzy inference
Short- term traffic flow
Forecasting
Correlation analysis
