Multi-Agent System for Demand Prediction and Trip Visualization in Bike Sharing Systems

Multi-Agent System for Demand Prediction and Trip Visualization in Bike Sharing Systems

This paper proposes a multi agent system that provides visualization and prediction tools for bike sharing systems (BSS). The presented multi-agent system includes an agent that performs data collection and cleaning processes, it is also capable of creating demand forecasting models for each bicycle...

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Bibliographic Details
Main Authors: Álvaro Lozano, Juan F. De Paz, Gabriel Villarrubia González, Daniel H. De La Iglesia, Javier Bajo
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Applied Sciences
Subjects:
bike sharing systems (BSS)
regression models
open data
data visualization
multi agent systems
organizations and institutions
socio-technical systems
Online Access:http://www.mdpi.com/2076-3417/8/1/67

Internet

http://www.mdpi.com/2076-3417/8/1/67

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