Traffic Speed Prediction for Highway Operations Based on a Symbolic Regression Algorithm

Traffic Speed Prediction for Highway Operations Based on a Symbolic Regression Algorithm

Due to the increase of congestion on highways, providing real-time information about the traffic state has become a crucial issue. Hence, it is the aim of this research to build an accurate traffic speed prediction model using symbolic regression to generate significant information for travellers. I...

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Bibliographic Details
Main Authors: Li Linchao, Tomislav Fratrović, Zhang Jian, Ran Bin
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2017-09-01
Series:Promet (Zagreb)
Subjects:
highway congestion
traffic state
sensor data
speed prediction
incident
symbolic regression
genetic programming
Online Access:https://traffic.fpz.hr/index.php/PROMTT/article/view/2279

Internet

https://traffic.fpz.hr/index.php/PROMTT/article/view/2279

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