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Article type: Research Article
Authors: Billhardt, Holgera; * | Fernandez, Albertoa | Lujak, Marinb | Ossowski, Saschaa | Julian, Vicentec | De Paz, Juan F.d | Hernandez, Josefa Z.e
Affiliations: [a] CETINIA, University Rey Juan Carlos, Madrid, Spain. E-mails: [email protected], [email protected], [email protected] | [b] IMT Lille Douai, Douai, France. E-mail: [email protected] | [c] DSIC, Universidad Politecnica de Valencia, Valencia, Spain. E-mail: [email protected] | [d] BISITE, Universidad de Salamanca, Salamanca, Spain. E-mail: [email protected] | [e] DIA, Universidad Politecnica de Madrid, Madrid, Spain. E-mail: [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: Nowadays, vehicles of modern fleets are endowed with advanced devices that allow the operators of a control center to have global knowledge about fleet status, including existing incidents. Fleet management systems support real-time decision making at the control center so as to maximize fleet performance. In this paper, setting out from our experience in dynamic coordination of fleet management systems, we focus on fleets that are open, dynamic and highly autonomous. Furthermore, we propose how to cope with the scalability problem as the number of vehicles grows. We present our proposed architecture for open fleet management systems and use the case of taxi services as example of our approach. We carried out some experiments, which showed our proposed algorithm outperform the most common assignment method both in waiting times of clients and taxi costs.
Keywords: Multiagent systems, coordination, open systems, dynamic fleet management, dynamic optimization
DOI: 10.3233/AIC-170722
Journal: AI Communications, vol. 30, no. 1, pp. 37-52, 2017
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