Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9575
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. 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Genetic algorithms;Reinforcement learning;Transportation systems
Issue Date: 2-Oct-2014
Source: 18th Panhellenic Conference on Informatics, PCI 2014; Harokopio UniversityAthens; Greece; 2 -4 October 2014
Conference: Panhellenic Conference on Informatics, PCI 
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.
URI: https://hdl.handle.net/20.500.14279/9575
ISBN: 978-145032897-5
DOI: 10.1145/2645791.2645845
Rights: © 2014 ACM.
Type: Conference Papers
Affiliation : Hellenic Mediterranean University 
Cyprus University of Technology 
National Technical University Of Athens 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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