探讨交通流量预测的几种方法  

Discusses Several Methods of Traffic Flow Forecast

作　　者：李力东[1] 高彤[1] 

机构地区：[1]吉林建筑工程学院计算机科学与工程学院,长春130118

出　　处：《吉林建筑工程学院学报》2010年第5期58-60,共3页Journal of Jilin Architectural and Civil Engineering

基　　金：吉教科合字[2009]第414

摘　　要：交通堵塞是制约城市经济发展的重要因素之一,如何解决使其畅通无阻是目前我国各大城市面临的一个难题.本文运用先进的理论技术,从不同的角度提出了几种进行交通流量预测的方法,如人工智能中的神经网络,面向对象等.可以及时、有效地对交通流量进行合理预测.为解决交通堵塞问题提供参考依据,最终达到规避拥堵,实现车流畅通的目的.Restricting traffic jam is an important factor in economic development,how to solve it smooth is the major cities face a difficult problem in China.In this paper,the theory of advanced technology,made from several different angles to traffic flow prediction methods,such as artificial intelligence neural networks,object-oriented and so on.The traffic flow is predicted timely and efficiently,which is to solve the problem of traffic jam,to provide reference for the end to avoid congestion and to achieve the purpose of smooth traffic flow.

关 键 词：交通流量 神经网络 面向对象 预测 

分 类 号：TN911[电子电信—通信与信息系统]