2006
DOI: 10.1016/j.dss.2005.07.010
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TRANS-POL: A mediator between transportation models and decision makers' policies

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Cited by 16 publications
(7 citation statements)
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“…However, environment and transportation interactions are not taken into account. Tsamboulas and Mikroudis (2006) proposes a DSS, TRANSPOL, specifically developed for the transport policy sector, to provide policy support information which can be generated in-house. It provides a medium for bringing together all kinds of transport models and databases, making them available to a wider audience in a user-friendly environment.…”
Section: Literature Surveymentioning
confidence: 99%
“…However, environment and transportation interactions are not taken into account. Tsamboulas and Mikroudis (2006) proposes a DSS, TRANSPOL, specifically developed for the transport policy sector, to provide policy support information which can be generated in-house. It provides a medium for bringing together all kinds of transport models and databases, making them available to a wider audience in a user-friendly environment.…”
Section: Literature Surveymentioning
confidence: 99%
“…[50] In 2006 tsamboulas and Mikroudis proposed Trans-pol which is decision support system and an expert system for the transportation system. [68] Ingoloti and four others have proposed a decision support system for railway scheduling problems. [26] In 2011 jiang and other two proposed sustainable strategies for railway intelligent transport system using Artificial intelligence.…”
Section: Related Workmentioning
confidence: 99%
“…The TITIM GIS-tool is structured similarly to a DSS, and formed by a minimum of four modules: a database, a series of mathematical models, an inference engine and a user interface (Arampatzis et al, 2004;Brand et al, 2002;Herrero-Jimenez, 2012;Sikder, 2009;Tsamboulas & Mikroudis, 2006). According to the various authors, other elements can be added to these basic elements to design the DSS.…”
Section: Methodology For the Creation And Structure Of The Titim Gistoolmentioning
confidence: 99%