Route prioritisation in a multi-agent transportation environment via multi-attribute decision making

Adil Baykasoglu, Vahit Kaplanoglu and Cenk Sahin

International Journal of Data Analysis Techniques and Strategies, 2016, vol. 8, issue 1, 47-64

Abstract: Effective management of the vehicles plays an important role in transportation sector. There are some novel approaches in software engineering which can be used to dynamically control the trucks. One of the example technologies is multi-agent systems. Multi-agent-based technologies could be used for truck dispatching in real time. The trucks in such systems have their own transportation plan and they can decide about their routes throughout their operations. Any truck agent must select a route to pickup or deliver a transportation order while doing its transportation operation. However, truck driver route preference is also crucial for the transportation performances because of morale, motivation and psychological conditions of drivers have a considerable effect on transportation operation success. In this paper, driver route preference model is incorporated into a multi-agent-based vehicle dispatching system which uses fuzzy graph theoretical-matrix permanent approach which is a novel method in multi-attribute decision making (MADM). The model is also compared with fuzzy TOPSIS method. Spearman rank correlation test is used to assess the correlation between the ranks.

Keywords: transport routes; multi-agent systems; MAS; agent-based systems; multiattribute decision making; MADM; matrix permanent; fuzzy TOPSIS; fuzzy logic; route prioritisation; vehicle management; truck dispatching; trucks; driver route preferences; preference modelling; fuzzy graph theory. (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=75973 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:injdan:v:8:y:2016:i:1:p:47-64

Access Statistics for this article

More articles in International Journal of Data Analysis Techniques and Strategies from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().