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Title: Developing public transport network systems: The DIANA approach
Authors: Kosmopoulos, Dimitrios I. 
Kalohristianakis, M. 
Malamos, Athanasios G. 
Chatzis, Sotirios P. 
Pternea, Moschoula 
Kepaptsoglou, Konstantinos L. 
Karlaftis, Matthew G. 
Keywords: Genetic algorithms;Reinforcement learning;Transportation systems
Category: Social and Economic Geography
Field: Social Sciences
Issue Date: 2-Oct-2014
Publisher: Association for Computing Machinery
Source: 18th Panhellenic Conference on Informatics, PCI 2014; Harokopio UniversityAthens; Greece; 2 October 2014 through 4 October 2014
metadata.dc.doi: 10.1145/2645791.2645845
Abstract: In this paper we introduce the project DIANA, which deals with the development of innovative algorithms and decision support systems for the design of public transport network systems. The project aims to design transportation networks with conventional and electric vehicle types, with the objectives of maximizing total welfare, including the minimization of system emissions. Evolutional algorithms and reinforcement learning methods are being developed for solving the associated transit route network design problem. Finally, a web-based decision support system is under development utilizing state of the art GIS technology.
ISBN: 978-145032897-5
Rights: © 2014 ACM.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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