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162 Big Data Analytics for Connected Vehicles and Smart Cities Transportation Use Cases 163

Appendix A: Smart City Transportation Use Case Examples

Use Case Example 1: Asset and Maintenance Management
Smart City Service: Asset And Maintenance Management

• Objectives: To improve the quality of asset and maintenance manage-
ment, to minimize cost and maximize results, and to support a consis-
tent and appropriate quality level for assets across the city.
• Expected outcome of analyses: Better cost versus performance results for
asset and maintenance management, more consistent and appropriate
levels of maintenance, better understanding of relevant intervention
points and replacement.
• Success criteria: Better asset and maintenance management performance,
improvement in asset performance, improved consistency of mainte-
nance, and development of strategies for optimum asset and mainte-
nance management.
• Source data examples: Asset location, asset condition, maintenance logs,
maintenance schedules, maintenance service specifications and stan-
dards, maintenance program expenditure data, cost of individual device
maintenance, cost of individual device replacement, cost of network
maintenance, and cost of network replacement.
• Business benefits: Reduced costs, enhanced life cycle, managed mainte-
nance costs, and better maintenance planning.
• Challenges: Establishing suitable maintenance standards, agreeing on
maintenance standards across multiple responsible agencies, and devel-
oping an asset inventory.
• Analytics that can be applied: Establishing suitable maintenance stan-
dards, agreeing on maintenance standards across multiple responsible
agencies, and developing an asset inventory

Use Case Example 2: Connected Vehicle Probe Data
Smart City Service: Connected Vehicle

• Objectives: To support maximum use of data that can emanate from con-
nected vehicles and provide new data feeds that can be incorporated into
existing ones; lessen the dependence on infrastructure-based sensors.
• Expected outcome of analyses: Significantly improved picture of transpor-
tation operating conditions and the demand for transportation in urban