Applying Time-Dependent Attributes to Represent Demand in Road Mass Transit Systems

Applying Time-Dependent Attributes to Represent Demand in Road Mass Transit Systems

The development of efficient mass transit systems that provide quality of service is a major challenge for modern societies. To meet this challenge, it is essential to understand user demand. This article proposes using new time-dependent attributes to represent demand, attributes that differ from t...

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Bibliographic Details
Main Authors: Teresa Cristóbal, Gabino Padrón, Javier Lorenzo-Navarro, Alexis Quesada-Arencibia, Carmelo R. García
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Entropy
Subjects:
clustering
entropy
attribute creation
data mining
intelligent transport systems
mass transit systems
demand
Online Access:http://www.mdpi.com/1099-4300/20/2/133

Internet

http://www.mdpi.com/1099-4300/20/2/133

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