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 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.

[1]  A. Massa,et al.  Advances in decision-making support tools for fleet management in emergency and security applications , 2014, 2014 IEEE Conference on Antenna Measurements & Applications (CAMA).

[2]  J. Wyatt.  Decision support systems. , 2000, Journal of the Royal Society of Medicine.

[3]  Laurence Alison,et al.  A systematic review of the potential hurdles of interoperability to the emergency services in major incidents: recommendations for solutions and alternatives , 2013, Cognition, Technology & Work.

[4]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[5]  Ilan Noy,et al.  Natural Disasters and the Economy — A Survey , 2011 .

[6]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[7]  DongChun Lee,et al.  Digital Mobile Communications and the TETRA System. , 2001 .

[8]  A. Massa,et al.  Decision support system for fleet management based on TETRA terminals geolocation , 2014, The 8th European Conference on Antennas and Propagation (EuCAP 2014).

[9]  A. Massa,et al.  Evolutionary optimization strategies applied to wireless fleet management in emergency scenarios , 2015, 2015 IEEE 15th Mediterranean Microwave Symposium (MMS).

[10]  P. Rocca,et al.  Evolutionary optimization as applied to inverse scattering problems , 2009 .

[11]  E. Cavallo,et al.  The Economics of Natural Disasters: A Survey , 2009 .

[12]  Ling Li,et al.  An emergency response decision support system framework for application in e-government , 2012, Information Technology and Management.