Optimization strategies for fleet management based on wireless terminals localization in smart cities scenarios
| Autor: | Federico Viani, Fabrizio Robol, Andrea Massa, L. Zappini, Alessandro Polo, S. Marchesi |
|---|---|
| Přispěvatelé: | ELEDIA Research Center@DISI, University of Trento, via Sommarive 5, 38123 Trento, Italy (ELEDIA), University of Trento [Trento], Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Centrale Unica Emergenza - Provincia Autonoma di Trento, 38122 Trento, Italy |
| Rok vydání: | 2016 |
| Předmět: |
Decision support system
Mission control center Emergency management Operations research business.industry Computer science 05 social sciences 020206 networking & telecommunications 02 engineering and technology Experimental validation Computer security computer.software_genre [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism Wireless communication systems 0202 electrical engineering electronic engineering information engineering Wireless 0501 psychology and cognitive sciences business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Metaheuristic computer 050107 human factors Fleet management |
| Zdroj: | ISC2 2016 IEEE International Smart Cities Conference (ISC2) 2016 IEEE International Smart Cities Conference (ISC2), Sep 2016, Trento, Italy. ⟨10.1109/ISC2.2016.7580851⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|