Optimization strategies for fleet management based on wireless terminals localization in smart cities scenarios

Abstract : The increasing availability and diffusion of digital wireless communication systems and localization technologies is offering new opportunities for the introduction of location-based decision support systems for the fleet and mission control management in smart cities. In this paper, the use of multi-objective evolutionary metaheuristic for dispatching fleet assets is addressed. The applications are particularly interesting for goods transportation and emergency management agencies, the proposed approach has been implemented in a full-scale decision support system prototype under experimental validation at the headquarter of the Centrale Unica Emergenza (CUE) of Trento, Italy.
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https://hal.archives-ouvertes.fr/hal-01768198
Contributor : Andrea Massa <>
Submitted on : Tuesday, April 17, 2018 - 8:55:18 AM
Last modification on : Wednesday, May 2, 2018 - 10:47:30 AM

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Alessandro Polo, Federico Viani, Fabrizio Robol, Andrea Massa, Silvia Marchesi, et al.. Optimization strategies for fleet management based on wireless terminals localization in smart cities scenarios. 2016 IEEE International Smart Cities Conference (ISC2), Sep 2016, Trento, Italy. ⟨10.1109/ISC2.2016.7580851⟩. ⟨hal-01768198⟩

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