Page 178 - Big Data Analytics for Connected Vehicles and Smart Cities

158 Big Data Analytics for Connected Vehicles and Smart Cities Transportation Use Cases 159

Table 8.1
Smart City Transportation Services and Use Cases
Smart City Service Use Case Name
1 Asset and maintenance management Asset and maintenance management
2 Connected vehicle Connected vehicle probe data
3 Connected involved citizens Connected, involved citizens
4 Integrated electronic payment Variable tolling
5 Integrated electronic payment Ticketing strategy and payment channel
evaluation
6 Intelligent sensor–based infrastructure Intelligent sensor–based infrastructure
7 Low-cost, efficient, secure, and ICT management
resilient ICT
8 Smart grid roadway electrification and Electric fleet management
electric vehicles
9 Smart land use Mobility hub
10 Strategic business models and Partnership management
partnering
11 Transportation governance Transportation governance system
12 Transportation management Customer satisfaction and travel response
13 Travel information Travel value analysis
14 Urban analytics Accessibility index
15 Urban automation Urban automation analysis
16 Urban delivery and logistics Freight performance management
17 User-focused mobility MaaS

essary to ensure that data is available to support the use case and ana-
lytics. This will be an initial review of data requirements to avoid the
development of use cases that require data that is not available. It is likely
that data requirements will evolve as the analysis takes place.

• Business benefits: Key benefits to be delivered by the use case in terms of
safety, efficiency, and user experience enhancement. These are stated as
business benefits since a methodology was drawn from significant ex-
perience in working with private sector companies. These can translate
into public benefits such as accident reduction and reduced travel time
and improve travel time reliability and provide a better understanding of
user experience and perception.
• Challenges: The identification of challenges that need to be addressed to
ensure successful delivery of the use case. This represents an initial list of
challenges that can be predefined before the analytics work takes place.
These will be supplemented by additional challenges and covered during
the work. This initial list is intended to support the early identification
of challenges in the development of appropriate approach plans.