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

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 mult...

Full description

Saved in:
Bibliographic Details
Published in2016 IEEE International Smart Cities Conference (ISC2) pp. 1 - 6
Main Authors Polo, A., Viani, F., Robol, F., Massa, A., Marchesi, S., Zappini, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
decision support system
Decision support systems
emergency management
Emergency services
Knowledge based systems
metaheuristic
multi-objective evolutionary optimization
Optimization
terrestrial trunked radio (TETRA)
Vehicles
Wireless communication
wireless localization
Wireless sensor networks
Online AccessGet full text

Cover

More Information
Summary: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.
DOI:10.1109/ISC2.2016.7580851