Travel time prediction in urban traffic network using Artificial Neural Network

被引：0
|
作者：
Jiang, GY [1 ]
Zhang, RQ [1 ]
Yang, ZS [1 ]
机构：
[1] Jilin Univ Technol, Intelligent Transportat Syst Res & Dev Ctr, Changchun 130025, Peoples R China
来源：
PROCEEDINGS OF THE 2001 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, VOLS I AND II | 2001年
关键词：
urban traffic network; travel time prediction; Artificial Neural Network (ANN); Intelligent Transportation Systems (ITS);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Traffic flow on urban arterial roads is interrupted by intersections. It is difficult to predict travel time because there is much affection of uncertain factors. In this paper the average space speed is adopted as medium variable. The Artificial Neural Network technique is applied to map the relationship of the traffic volume and average space speed. Then average space speed was conversed to average travel time. This approach was tested using the data from an arterial road in ChangChun, China. The result shows that this method can make the predictive calculation reliable, easy and low cost.
引用
收藏
页码：2229 / 2234
页数：6
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