A Neural Network Model for Travel Time Prediction

被引：7
|
作者：
Liu, Hao [1 ]
He, Ruihua [1 ]
Zhang, Ke [1 ]
Li, Jing [1 ]
机构：
[1] Natl ITS Res Ctr, Res Inst Highway, Minist Transport, Beijing, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年
关键词：
neural network; travel time prediction; DELAY;
D O I：
10.1109/ICICISYS.2009.5358018
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper provides a neural network model to address the problem of travel time prediction A single segment model based on the State Space Neural Network is used for modeling traffic flow on one single signalized segment Thus, modelling a longer arterial covering several controlled intersections is conducted by assembling each individual segment models This reduces significantly the amount of parameters of the neural network, which make It simpler and easier to be implemented in practice An urban arterial in the Netherlands was selected as test bed The results indicate that this proposed model is capable of dealing with complex nonlinear urban arterial travel time predictions with satisfying accuracy
引用
收藏
页码：752 / 756
页数：5
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