Passenger Flows Estimation of Light Rail Transit (LRT) System in Izmir, Turkey Using Multiple Regression and ANN Methods

Passenger Flows Estimation of Light Rail Transit (LRT) System in Izmir, Turkey Using Multiple Regression and ANN Methods

<p>Passenger flow estimation of transit systems is essential for new decisions about additional facilities and feeder lines. For increasing the efficiency of an existing transit line, stations which are insufficient for trip production and attraction should be examined first. Such investigatio...

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Bibliographic Details
Main Authors: Mustafa Özuysal, Gökmen Tayfur, Serhan Tanyel
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2012-01-01
Series:Promet (Zagreb)
Subjects:
light rail transit
multiple regression
artificial neural networks
public transportation
Online Access:http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/264

Internet

http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/264

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