节点文献
基于慢变量的交通客流预测模型
Traffic Flow Forecast Model Based on Slow Variables
【摘要】 从影响交通客流分布的最主要因素——人口、能耗、区域面积出发,提出交通质量的概念,并基于它提出了新的交通发生(吸引)模型,参照万有引力定律对重力模型进行了改进。用实例将预测模型与传统的预测模型相比,说明模型的可行性和有效性。
【Abstract】 In view of the major factors influencing distribution of traffic flow, such as population,energy consumption,regional area,etc.,this paper gives the concept of traffic quality,based upon which,it introduces a novel traffic occurrence(attraction) model.With the reference of the law of universal gravitation,the gravity model is improved.It gives practical instances to compare the forecast model with conventional forecast model and illustrates the feasibility and validity of this model.
【关键词】 交通工程;
交通能耗;
交通质量;
慢变量;
预测模型;
【Key words】 traffic project; traffic energy consumption; traffic quality; slow variables; forecast model;
【Key words】 traffic project; traffic energy consumption; traffic quality; slow variables; forecast model;
【基金】 国家自然科学基金项目(70371014);高等学校博士学科点专向科研基金(20040004012)
- 【文献出处】 公路交通技术 ,Technology of Highway and Transport , 编辑部邮箱 ,2007年02期
- 【分类号】U491.14
- 【被引频次】1
- 【下载频次】175