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166 Big Data Analytics for Connected Vehicles and Smart Cities Transportation Use Cases 167
Use Case Example 7: ICT Management
Smart City Service: Low-Cost, Efficient, Secure, and Resilient ICT
• Objectives: To obtain the best value for money from investment in infor-
mation and communication technologies; to optimize operations of the
communications network; to minimize the cost of data transfer; and to
maximize network security.
• Expected outcome of analyses: Optimized use of information and com-
munication technologies; better management of investments to achieve
maximum results with minimum expenditure; and better use of private
sector resources.
• Success criteria: Minimum cost communication services and optimized
load-balancing.
• Source data examples: Cost of implementation and maintenance for in-
formation and communication technologies; network load data; and
network demand data.
• Business benefits: Lower cost of network operation and higher standards
of network operation.
• Challenges: Measuring network load; measuring network demand; and
developing better utilization strategies for the network.
• Analytics that can be applied: Network load, network demand, network
utilization, efficiency of network utilitzation strategies.
Use Case Example 8: Electric Fleet Management
Smart City Service: Smart Grid Roadway Electrification and Electric Vehicles
• Objectives: To support the analysis of electric vehicle charging point lo-
cation patterns and the determination of energy use patterns associated
with electric vehicles; to support a detailed analysis of energy use pat-
terns; and to support the development of strategies for managing energy
use.
• Expected outcome of analyses: Appropriate location of electric vehicle
charging points to maximize availability to electric vehicle users and bet-
ter matching of supply and demand from an energy perspective, taking
account of the new energy consumption patterns related to electric ve-
hicles.