Modeling Arterial Travel Time with Limited Traffic Variables using Conditional Independence Graphs & State-Space Neural Networks-Reference-Cited by-同舟云学术

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Modeling Arterial Travel Time with Limited Traffic Variables using Conditional Independence Graphs & State-Space Neural Networks

Published:2011 Issue: Volume:16 Page:207-217
ISSN:1877-0428
Container-title:Procedia - Social and Behavioral Sciences
language:en
Short-container-title:Procedia - Social and Behavioral Sciences

Author:

Abu-Lebdeh Ghassan,Singh Ajay K.

Publisher

Elsevier BV

Subject

General Medicine

Reference18 articles.

1. Dynamic Travel Time Prediction with Real-Time and Historic Data;Chien;Journal of Transportation Engineering,2003

2. Finding Structure in Time;Elman;Cognitive Science,1990

3. Gang-Len, C. and Chih-Chiang S. (1995). Predicting Intersection Queue with Neural Network Models. Transportation Research Part C: Emerging Technologies.

4. Neural Networks: A Comprehensive Foundation;Haykin,1999

5. Performance Evaluation of Short-Term Time-Series traffic Prediction Model;Ishak;Journal of Transportation Engineering,2002

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trip-oriented travel time prediction (TOTTP) with historical vehicle trajectories;Frontiers of Earth Science;2017-03-14

2. Short-term traffic forecasting: Where we are and where we’re going;Transportation Research Part C: Emerging Technologies;2014-06

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