Common Logical Data Model: Basis for Global ITS Innovation
transport systems. To date, most existing ITS
applications have been designed under the
assumption that they would collect their
own data with minimal data sharing among
applications; however, sharing data among
systems is considered a key factor in making
additional progress to address the above
issues. 31
another—and since many of the
technologies will be in place for other
reasons, the cost for acquiring the
incremental data will likely be low—as long
as the various devices are able to share the
valuable information; and better yet, the
data are presented in either a common
format or an easily interchangeable format.
Traditionally, to collect information in a
specific part of the vehicle, each system has
collected its own probe data for their specific
purposes; however, the collection of this
data has been a major cost factor for these
systems. As systems become more
advanced, ubiquitous and interconnected,
the advantages of sharing information
between systems blossom. Even when a
system has a requirement to collect its own
data, being able to validate its readings
against those collected by a second source
and to identify any suspect readings from its
own equipment can be valuable. For
example, sharing probe data among service
providers enhances the quality of service of
each service provider.
The framework of data sharing
There are various systems deployed and
successfully operating on their own; while
these systems often collect data, they often
only use the data for a single application
without sharing with others. For example,
Probe Data from transportation systems are
typically not used effectively for smart city
services to solve other smart city mobility
issues.
It is suggested that the vehicle probe data be
shared among authorized stakeholders—
and those sharing could, as a result, support
various potential services for smart city
service applications using a common data
base; however, this level of data sharing also
requires consideration of data ownership,
data access rights and privacy protection.
These issues are to be addressed as a part of
the logical data model to ensure that all
users of the data agree to the rights
associated with the data.
Sharing data can reduce overall costs while
increasing quality. For example, the current
status of a stretch of curbside (i.e., whether
a car is parked, waiting, etc., or whether the
curbside is clear) can be determined through
a variety of technologies including roadside
detectors, sensors from passing vehicles,
cellular triangulation of cell phones, etc.
Each technology will tend to have its own
advantages and disadvantages; however, in
many cases the weakness of one technology
can be overcome by the strength of
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The conceptual framework of a vehicle
probe system is provided in Figure 1 below.
The framework consists of the vehicle, the
roadside (including roadside units that
collect data from probe vehicles and
roadside sensors that directly capture their
ISO 22837:2009, Vehicle probe data for wide area communications, ISO, 2009. https://www.iso.org/standard/45418.html
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March 2020