Page 265 - Big Data Analytics for Connected Vehicles and Smart Cities

246 Big Data Analytics for Connected Vehicles and Smart Cities Benefit and Cost Estimation For Smart City Transportation Services 247

Figure 11.11 Assumed configuration for urban automation system.

will be operated by both public and private enterprises and will support the fleet
management and coordination of mobility services and the data collection and
information processing required to make a menu of mobility services available
to the user. The user-focused mobility data and analytics subsystem will be a
hardware and software environment capable of supporting all the functions
required to manage MaaS through matching available services to user demand.

11.8 Cost Estimates for Smart City Transportation Services

Making use of the model smart city parameters shown in Tables 11.4–11.6 and
the assumed configurations described in Section 11.7, a series of cost estimates
was developed for each smart city transportation service. The results of the cost
estimation are shown in Tables 11.19–11.24. A commentary has been provided
on the cost estimation calculation after each table.
The capital investment required for the asset management central sub-
system is assumed to be proportional to the number of devices under manage-
ment. There are assumed to be a total of 5,900 devices based on the assump-
tions regarding the number of devices per mile and the number of miles of each
road type and bus routes contained in Table 11.8. The number of data devices