Home  About Journal  Editorial Board  Instruction  Subscription  Contact Us   Message Board  
JMT 2014, Vol. 22 Issue (1) :20-29    DOI: 10.1007/s40534-014-0033-3
Articles Current Issue | Next Issue | Archive | Adv Search << Previous Articles | Next Articles >>
Application of artificial neural networks for operating speed prediction at horizontal curves:a case study in Egypt
Ahmed Mohamed Semeida*
Civil Engineering Department, Specialization of Transportation and Traffic Engineering, Faculty of Engineering, Port Said University, Port Said, Port Fouad 42523, Egypt

Abstract
Reference
Related Articles
Download: PDF (3348KB)   HTML 1KB   Export: BibTeX or EndNote (RIS)      Supporting Info
Abstract Horizontal alignment greatly affects the speed of vehicles at rural roads. Therefore, it is necessary to analyze and predict vehicles speed on curve sections. Numerous studies took rural two-lane as research subjects and provided models for predicting operating speeds. However, less attention has been paid to multi-lane highways especially in Egypt. In this research, field operating speed data of both cars and trucks on 78 curve sections of four multi-lane highways is collected. With the data, correlation between operating speed (V85) and alignment is analyzed. The paper includes two separate relevant analyses. The first analysis uses the regression models to investigate the relationships between V85 as dependent variable, and horizontal alignment and roadway factors as independent variables. This analysis proposes two predicting models for cars and trucks. The second analysis uses the artificial neural networks (ANNs) to explore the previous relationships. It is found that the ANN modeling gives the best prediction model. The most influential variable on V85 for cars is the radius of curve. Also, for V85 for trucks, the most influential variable is the median width. Finally, the derived models have statistics within the acceptable regions and they are conceptually reasonable.
Service
Email this article
Add to my bookshelf
Add to citation manager
Email Alert
RSS
Articles by authors
KeywordsArtificial neural networks   Horizontal curve   Multi-lane highways   Operating speed   Prediction models   Regression models   Roadway factors     
Received 2013-11-15;
Corresponding Authors: Ahmed Mohamed Semeida     Email: semeida77@hotmail.com
Cite this article:   
Ahmed Mohamed Semeida.Application of artificial neural networks for operating speed prediction at horizontal curves:a case study in Egypt[J]  JMT, 2014,V22(1): 20-29
URL:  
http://jmt.swjtu.edu.cn/EN/10.1007/s40534-014-0033-3      or     http://jmt.swjtu.edu.cn/EN/Y2014/V22/I1/20
Copyright 2010 by JMT