摘要
针对道路交通状态预测的研究成果,综述了基于实时数据分析的道路交通状态预测理论和方法的相关研究.从分析基于实时数据分析的道路交通预测的基本流程、特点和要求和单一断面交通状态预测和多断面交通状态预测角度回顾了道路交通状态预测的研究现状.结果表明:在不断发展完善单一断面预测方法的同时,需要发展以多个断面交通状态为研究对象的多断面预测方法,以促进我国智能交通系统的基础理论发展及其应用水平的提高.
In order to summarize research findings of road traffic state forecasting, reviews on theories and methods of road traffic state forecasting based on real-time data analysis are concerned. Firstly, flowchart, characteristic and request of road traffic state forecasting based on real-time data analysis are analyzed. Secondly, current status of research on traffic state forecasting is introduced from aspects of univariate approaches and multivariate approaches. Finally, development trends of this field are expected. Univariate approaches as well as multivariate approaches of traffic state forecasting should be well developed to raise the theoretical level and its application in intelligent transportation systems.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2009年第4期247-249,256,共4页
Journal of Harbin Institute of Technology
基金
国家自然科学基金资助项目(50578009)
关键词
智能交通系统
交通状态预测
数据分析
预测模型
intelligent transportation system
traffic state forecasting
data analysis
forecasting model