%0 Journal Article
%T A Real-time Travel Time Estimation Model Based on Backpropagation Neural Network<br>基于BP神经网络的路径行程时间实时预测模型
%A YANG Zhaosheng
%A ZHU Zhong
%A <br>杨兆升
%A 朱中
%J 系统工程理论与实践
%D 1999
%I 
%X Travel time estimation is an important aspect for the traffic flow guidance system. In this paper, based on analysing several methods to estimate the travel time, we establish a real time travel time estimation model by using backpropagation neural network. The software system of the model is developed. The model is tested with detected data collected in Changchun city.
%K travel time
%K artificial neural network
%K prediction model
%K traffic flow guidance system<br>行程时间
%K 人工神经网络
%K 预测模型
%K 交通流诱导系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=617BD33BDFBABC05&yid=B914830F5B1D1078&vid=2A8D03AD8076A2E3&iid=5D311CA918CA9A03&sid=6AC2A205FBB0EF23&eid=0401E2DB1F51F8DE&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=17&reference_num=0