Systems, Man & Cybernetics - January 2017 - 21
from the SoS environments, elaborates them, and suggests
choices to the DMs about the considered decision fields.
Smart Cities and Urban Logistics
Unlike the traditional field of transportation systems, new
emerging SoS are smart cities: an urban system that integrates multiple ICT tools and Internet of Things (IoT) solutions to improve the performance of the different systems
composing them. The city's assets include local departments'
information systems, schools, libraries, transportation systems, hospitals, power plants, water supply networks, waste
and postal management, and law enforcement.
One of the main challenging issues in smart cities is the
city logistics, which include traffic management, waste collection, postal delivery, infrastructure management, and
weather forecasts. City logistics are very complex and
socially and environmentally sensitive. They require dedicated and intelligent support from the decision-making
process. An urban DSS (U-DSS) that is devoted to managing the waste and postal management services in a unified
framework is proposed in [3]. The U-DSS provides the optimal routes to minimize the length of vehicle travel, and it
satisfies time and capacity constraints by taking into
Figure 3. a screenshot of the U-DSS user interface for
waste collection management.
account traffic and weather conditions. Because of the
large dimension of these problems, the DSS specification
requires not only new platform architectures but also novel
optimization and management techniques to find solutions
in a reasonable time and by applying management rules
in an appropriate way [3], [12]. Figure 3 shows a U-DSS
screenshot that depicts the different work shifts of the
Simulation Modules
Charging
Facilities
Traffic
Decision Module
P LOSS
∆V
Travel Time
Traffic
Charging
Congestion Facilities Loss
Data Component
Charging Outlets Status
Optimization Modules
Charging Infrastructure
Configuration
Min (Power Losses +
Voltage Deviations)
Energy Cost
Charging Power
Traffic Conditions
Charging Requests
Control
Feedback
Model
Component
Integrated Platform for
Electromobility
Interface with
Involved Systems
Vehicle
Charging
System
Charging
Operations
Spatial and
Temporal
Scheduling
System State
(EV Load)
Vehicle-toCharging-Station
Assignment
Max (Drivers' Utility)
Total Non-EV Demand
Electric Cars
and End
Users
Distribution
Grid
Energy
Distributor
System
Energy
Provider
System
Figure 4. a platform for electromobility smart management.
Ja nu a r y 2017
IEEE SyStEmS, man, & CybErnEtICS magazInE
21
Table of Contents for the Digital Edition of Systems, Man & Cybernetics - January 2017
Systems, Man & Cybernetics - January 2017 - Cover1
Systems, Man & Cybernetics - January 2017 - Cover2
Systems, Man & Cybernetics - January 2017 - 1
Systems, Man & Cybernetics - January 2017 - 2
Systems, Man & Cybernetics - January 2017 - 3
Systems, Man & Cybernetics - January 2017 - 4
Systems, Man & Cybernetics - January 2017 - 5
Systems, Man & Cybernetics - January 2017 - 6
Systems, Man & Cybernetics - January 2017 - 7
Systems, Man & Cybernetics - January 2017 - 8
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Systems, Man & Cybernetics - January 2017 - 11
Systems, Man & Cybernetics - January 2017 - 12
Systems, Man & Cybernetics - January 2017 - 13
Systems, Man & Cybernetics - January 2017 - 14
Systems, Man & Cybernetics - January 2017 - 15
Systems, Man & Cybernetics - January 2017 - 16
Systems, Man & Cybernetics - January 2017 - 17
Systems, Man & Cybernetics - January 2017 - 18
Systems, Man & Cybernetics - January 2017 - 19
Systems, Man & Cybernetics - January 2017 - 20
Systems, Man & Cybernetics - January 2017 - 21
Systems, Man & Cybernetics - January 2017 - 22
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Systems, Man & Cybernetics - January 2017 - 24
Systems, Man & Cybernetics - January 2017 - 25
Systems, Man & Cybernetics - January 2017 - 26
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Systems, Man & Cybernetics - January 2017 - 30
Systems, Man & Cybernetics - January 2017 - 31
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Systems, Man & Cybernetics - January 2017 - 40
Systems, Man & Cybernetics - January 2017 - Cover3
Systems, Man & Cybernetics - January 2017 - Cover4
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