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

Smart cities and urban logistics: a systematic review of the literature

“…Emergency mission control Polo, A. et al (2016). Optimization strategies for fleet management based on wireless terminals localization in smart cities scenarios.…”

“…On this topic, Polo et al (2016) propose a full-scale decision support system prototype for the emergency mission control that aims to provide operators with updated, reliable, and punctual information. The idea is to identify how many and which assets shall be deployed for the given mission considering three objectives: (i) maximize the utility of the selected assets; (ii) minimize the dispatch time; and (iii) minimize the cost of moving assets from its currently assigned location.…”

“…Finally, in what concerns the live tests in urban logistic solutions, Navarro et al ( 2016) perform a real-life scenario in the Spanish cities of Barcelona and Valencia, combining the use of electric tricycles and transhipment terminals for the last-mile delivery of parcels and small shipments. Polo et al (2016), in turn, propose and validate in an Italian province a full-scale decision support system prototype for the emergency mission control. In both cases, the authors underline the valuable results obtained and the need for further testing.…”

“…Consumers, retailers and suppliers Governance of urban logistics (Schröder et al, 2015) x (Lindawati et al, 2016) x Electric vehicles (Schau et al, 2015) x x (Schau et al, 2016) x x Exploitation of surplus food (Verticale et al, 2019) Donors and non-profit organizations Transportation of dangerous goods (Adamec et al, 2016) x Detection of spatial-temporal events related to logistics and planning (Suma et al, 2017) Big data such as twitter streaming Emergency mission control (Polo et al, 2016) x x…”

Techniques for Group Management Application Development

“…In smart cities, fleet assets such as fireengines, ambulances, trucks, drones, helicopters and so on should be efficiently managed in order to save lives and property in emergencies such as fires, traffic accidents, flooding, earth quakes, landslides, and so on. Polo et al [5] proposed a location-based decision support system that efficiently manages fleet assets in order to maximize the utility of assets, minimize the dispatch time, and minimize the cost of operating assets.…”