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|Title:||Developing public transport network systems: The DIANA approach||Authors:||Kosmopoulos, Dimitrios I.
Malamos, Athanasios G.
Chatzis, Sotirios P.
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.||URI:||http://ktisis.cut.ac.cy/handle/10488/9575||ISBN:||978-145032897-5||Rights:||© 2014 ACM.||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
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