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Unleashing the potential of the Internet of Things 5

Appendix II

Use cases of the open USN service platform

(This appendix does not form an integral part of this Recommendation.)

This appendix describes a use case for providing traffic information service using the open USN
service platform.

II.1 Traffic information service using the open USN service platform
Most traffic information services provide information related to the driving of vehicles, such as
traffic reports, road conditions and route guides (navigation) based on distance data. If various data
related to the driving of vehicles are obtained in real-time, more valuable traffic information
services could be provided. For example, recommended routes could be served more usefully by
utilizing various data in real-time such as vehicle speed and condition data, weather data, traffic
light data, personal schedule, and so on. Figure II.1 shows a use case that illustrates providing
recommended routes in the traffic information service.
For this service, the open USN service platform could collect the following data:
– vehicle speed and condition (e.g., parts, tires, fuel) data from several sensors installed
within the vehicle,
– weather data from weather sensors installed nationwide,
– traffic light data from sensor nodes that collect the state of traffic lights,

– personal scheduling data stored in a smart phone that can be used as a sensor node or
gateway which delivers data in a smart phone to destination.

These data can be collected by the methods used to handle the respective messages and protocols
through heterogeneous USN middleware, such as the open geospatial consortium (OGC) sensor
web enablement (SWE) [b-SWE] or USN middleware described in [ITU-T F.744]. In the open USN
service platform, the data collected from heterogeneous USN middleware are translated into proper
message specifications by the message translation function of the Adaptation FE. The translated
data are delivered to the corresponding FEs (Semantic USN repository FE, Resource management
FE and Semantic query FE) of the open USN service platform in order to process requests by the
message routing function of the Adaptation FE. The above data are stored in the Semantic USN
repository FE in RDF form.
Using the Semantic inference FE, data with semantics such as the following context data are created
and provided to users:
– recommended routes with good weather conditions and without traffic congestion, based on
weather and speed data collected from vehicles on route to the destination;
– recommended routes to reach a meeting place in time for appointments according to
personal schedule and vehicle fuel-level data based on traffic light and speed data collected
from vehicles on route to the destination

Rec. ITU-T Y.4402/F.747.4 (12/2013) 527