Page 261 - Big Data Analytics for Connected Vehicles and Smart Cities

242 Big Data Analytics for Connected Vehicles and Smart Cities Benefit and Cost Estimation For Smart City Transportation Services 243

Figure 11.7 Assumed configuration for smart grid, roadway electrification, and electric ve-
hicle system

agement and analytics associated with smart land-use planning. The movement
analytics subsystem is a hardware and software environment capable of turning
movement analytics data from smart phones into land-use parameters. The re-
tail, smart factory, education, and healthcare subsystems hardware and software
environment are designed to support the extraction of relevant land-use data
from each for delivery to the smart land-use planning data and analytics subsys-
tem. The intent is that probe vehicle data from the end vehicle subsystems will
provide a more detailed and dynamic view of trip generation from various uses
within the smart city. The movement analytics data will supplement this data
by providing person-specific data to cover other modes of transportation. The
retail, smart factory, education, and healthcare subsystems will serve as a bridge
between the smart city land-use data and analytics subsystem and internally fo-
cused applications designed to improve the retail experience, raise the efficiency
of factories, and increase accessibility to education and healthcare services.

Transportation Management
Figure 11.9 illustrates the assumed configuration for the transportation man-
agement system that will support the delivery of transportation management
services in the smart city.