Page 185 - Big Data Analytics for Connected Vehicles and Smart Cities
P. 185

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.
   180   181   182   183   184   185   186   187   188   189   190