ISO 14817-1:2015

INTERNATIONAL ISO
STANDARD 14817-1
First edition
2015-10-15
Intelligent transport systems — ITS
central data dictionaries —
Part 1:
Requirements for ITS data definitions
Systèmes intelligents de transport — Dictionnaires de données
centrales des ITS —
Partie 1: Exigences pour les définitions des données des ITS
Reference number
ISO 14817-1:2015(E)
©
ISO 2015

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ISO 14817-1:2015(E)

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ISO 14817-1:2015(E)

Contents Page
Foreword .v
Introduction .vi
1 Scope . 1
2 Conformance . 1
3 Normative references . 2
4 Terms and definitions . 2
5 Symbols and abbreviated terms . 9
6 Data concepts .10
6.1 Summary of data concepts . .10
6.2 Documentation Data Concepts .12
6.2.1 Dictionary Document .13
6.2.2 Module .13
6.3 Data model Data Concepts .13
6.3.1 Object class .14
6.3.2 Data element .14
6.3.3 Value domain . .15
6.4 Interface Data Concepts .15
6.4.1 Interface dialogue .16
6.4.2 Message.17
6.4.3 Data frame .17
6.4.4 Aggregate domain .17
7 Meta-attributes .17
7.1 Identification and naming meta-attributes .17
7.1.1 Data concept identifier .17
7.1.2 Data concept version .18
7.1.3 Data concept revision .18
7.1.4 Nominal version .18
7.1.5 Document identifier .18
7.1.6 Contextual name .19
7.1.7 Descriptive name .19
7.1.8 Historic descriptive name .19
7.1.9 ASN.1 name .19
7.1.10 Historic ASN.1 name .19
7.1.11 Object identifier .19
7.1.12 Uniform resource locator .19
7.2 Definitional meta-attributes .20
7.2.1 Definition .20
7.2.2 Source .20
7.2.3 Data concept type . . .20
7.2.4 Remark .20
7.2.5 Context .20
7.2.6 Dialogue Order Rules .20
7.3 Relational meta-attributes .20
7.3.1 Parent object class .21
7.3.2 Precursor .21
7.3.3 Successor .21
7.3.4 Synonym .21
7.3.5 Abstract .21
7.3.6 Multiplicity .21
7.3.7 Superclass .21
7.3.8 Referenced message.21
7.3.9 Referenced data frame .21
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ISO 14817-1:2015(E)

7.3.10 Referenced data element .21
7.4 Representational meta-attributes .22
7.4.1 Data type .22
7.4.2 Format .23
7.4.3 Unit of measure .24
7.4.4 Valid value rule .24
7.4.5 Constraint.24
Annex A (normative) Meta-attribute requirements .25
Annex B (normative) Naming conventions .29
Annex C (normative) Preferred data concepts .35
Annex D (informative) Data models .47
Annex E (informative) Legacy data .55
Bibliography .64
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ISO 14817-1:2015(E)

Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
organizations, governmental and non-governmental, in liaison with ISO, also take part in the work.
ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular the different approval criteria needed for the
different types of ISO documents should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www.iso.org/directives).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www.iso.org/patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation on the meaning of ISO specific terms and expressions related to conformity
assessment, as well as information about ISO’s adherence to the WTO principles in the Technical
Barriers to Trade (TBT) see the following URL: Foreword - Supplementary information
The committee responsible for this document is ISO/TC 204, Intelligent transport systems.
This first edition of ISO 14817-1, together with ISO 14817-2, cancels and replaces ISO 14817:2002, which
has been technically revised.
ISO 14817 consists of the following parts, under the general title Intelligent transport systems — ITS
data dictionaries:
— Part 1: Requirements for ITS data definitions
— Part 2: Governance of the Central ITS Data Concept Registry
— Part 3: Object identifier assignments for ITS data concepts
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ISO 14817-1:2015(E)

Introduction
Background
This International Standard has been developed by ISO TC 204, in order to provide a framework for the
documentation and registration of data that passes through system interfaces within the intelligent
transport systems (ITS) domain. It is designed to maximize interoperability and facilitate information
re-use across system interfaces.
Vision statement
This International Standard envisions a harmonized approach to ITS data concepts to promote maximum
interoperability of data within the ITS sector by the creation and maintenance of the “Central ITS
Data Concept Registry” (CIDCR), supported by interface and application specific ITS data dictionaries,
created and maintained in a common and interoperable form, and to ensure the minimization of
duplication by clear rules for data concept definition and data concept registry management.
Mission statement
The mission is to develop tools that will promote a holistic, integrated approach involving vehicle
technology, infrastructure, and the road user to increase transport safety and efficiency. Specifically,
this International Standard defines the principles and concepts; scope; field of application; rules and
procedures; definition and concept of operation for the CIDCR and ITS functional data dictionaries; and
makes provision for the migration of data concepts from ITS functional data dictionaries to the CIDCR
so as to maximize interoperability and minimize proliferation of similar (but inconsistently defined)
data concept entries.
This International Standard defines the framework, formats, and procedures used to define information
and information exchanges within the ITS sector. This International Standard is designed to be used
by the ITS community at large, but should be of special interest to application developers, equipment
providers, and data concept registry managers.
This International Standard specifies a set of meta-attributes for ITS data concepts, as well as
associated conventions and schemes that enable the description, standardization and management of
all exchanged ITS data. Through consistent use of these common structures and associated conventions
and schemes, interchange of data and information among the various ITS functional subsystems via
their specific application systems can be maximized. This International Standard also supports re-use
of data elements and other data concepts across various ITS functional subsystems and their specific
application systems.
The formats and processes defined within this International Standard are consistent with
implementation(s) of the ISO ITS System Architecture defined in the ISO 14813 Standardization
deliverables, particularly ISO 14813-2 and ISO 14813-3. This does not preclude the application of
data concept registries using alternative international, regional or national system architecture
methodologies or techniques, indeed, common formats and processes will ease migration and
interoperability between such approaches.
The ITS data concepts that populate the CIDCR or data dictionary may originate from a Computer-
Aided Software Engineering (CASE) tool implementation of the ISO 14813 ITS Reference Architecture,
from International Standards for ITS, from national implementations for ITS, or from the submission
by relevant users. Data dictionary entries are not limited to those generated by object oriented
methodologies.
Document overview
This clause provides an overview of this International Standard. Clause 1 identifies the scope of this
part of ISO 14817. Clause 2 identifies requirements for conformance to this part of ISO 14817. Clause 3
identifies references required for proper implementation of this part of ISO 14817. Clause 4 defines
terms used in this part of ISO 14817 and Clause 5 lists the abbreviations.
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Clause 6 declares the fundamental ITS data concepts and Clause 7 identifies meta-attributes used to
document the data concepts declared in Clause 6.
Annex A prescribes which meta-attributes are required for each type of data concept. Annex B specifies
the naming conventions and the process for converting among various naming conventions (e.g.
between the ITS descriptive name and the ASN.1 name). Annex C contains a listing of preferred data
concepts within the ITS domain. Annex D contains the rules for representing data in a data model, along
with examples.
The Bibliography includes a list of documents related to this International Standard.
Other parts
ISO 14817-2 defines the operation of the Central ITS Data Concept Registry (CIDCR). ISO 14817-3
specifies how to assign object identifiers.
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INTERNATIONAL STANDARD ISO 14817-1:2015(E)
Intelligent transport systems — ITS central data
dictionaries —
Part 1:
Requirements for ITS data definitions
1 Scope
This part of ISO 14817 specifies the logical structure (framework) and the data content (substance) of
intelligent transport systems (ITS) data dictionaries (DDs).
Specifically, this part of ISO 14817 specifies the following:
— framework used to identify and define all data concepts;
— meta-attributes used to describe, standardize and manage each of the data concepts defined within
this framework;
— requirements used to record these definitions;
— naming conventions for the data concepts;
— a set of preferred data concepts within the ITS domain;
— data modelling method for defining ITS data concepts, when used.
DDs support data concepts derived from any number of international, regional or national system
architecture methodologies and/or techniques. Common data formats and operating procedures will
ease migration and interoperability between such approaches.
A data concept registry is an electronic data dictionary that supports some additional features. The
CIDCR refers to the specific implementation of an ITS data concept registry that is operated under the
auspices of ISO/TC 204. The term “data concept registries” may refer to the CIDCR and/or any other
national or regional data concept registry that chooses to conform to this part of ISO 14817.
2 Conformance
This part of ISO 14817 prescribes a conceptual model, not a physical implementation. An implementation
of this part of ISO 14817 may use different data concepts, different meta-attributes, or different
data concepts and different meta-attributes; however, a conforming implementation of this part of
ISO 14817 shall provide an unambiguous mapping to and from the physical implementation model and
the conceptual meta-model defined by this part of ISO 14817.
Regional and National DDs have the option of adopting data concept definitions from the CIDCR, but are
not required to do so.
Table 1 indicates the conformance requirements of data concept registries and data dictionaries.
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ISO 14817-1:2015(E)

a
Table 1 — Data dictionary and data concept registry conformance
Feature Data Dictionary Data Concept
b
Registry
c
Support all data concepts  
d
Support all mandatory identification meta-attributes  
e
Support all mandatory definitional meta-attributes  
f
Support all mandatory relational meta-attributes  
g
Support all mandatory representational meta-attributes  
h
Support all mandatory administrative meta-attributes 
i
Electronic storage with automated administrative rules 
a
Annex A identifies which meta-attributes are mandatory for specific data concepts.
b
For data concept registries, “mandatory” meta-attributes shall also include all “assigned” meta-attributes.
c
As defined in Clause 6.
d
As defined in 7.1.
e
As defined in 7.2.
f
As defined in 7.3.
g
As defined in 7.4.
h
As defined in ISO 14817-2.
i
As defined in ISO 14817-2.
3 Normative references
The following documents, in whole or in part, are normatively referenced in this document and are
indispensable for its application. For dated references, only the edition cited applies. For undated
references, the latest edition of the referenced document (including any amendments) applies.
1)
ISO 14817-3:— , Intelligent transport systems — ITS data dictionaries — Part 3: Object identifier
assignments for ITS data concepts
2)
ISO/IEC 8824-1:— , Information technology — Abstract Syntax Notation One (ASN.1): Specification of
basic notation
ISO/IEC 9834-1, Information technology — Procedures for the operation of object identifier registration
authorities: General procedures and top arcs of the international object identifier tree
NIMA TR8350.2, Third Edition – Amendment 1, January 2000, Department of Defence – World Geodetic
System 1984, Its Definition and Relationships With Local Geodetic Systems, issued by National Imagery
and Mapping Agency (NIMA), US Department of Defence
4 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO 14817-3 and the following apply.
4.1
abstract
indication of whether the object class is purely abstract or can be instantiated with member objects;
abstract object classes typically have non-abstract specializations
1) To be published.
2) To be published. (Revision of ISO 8824-1:2008)
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4.2
aggregate domain
data concept that defines a grouping of data elements and/or data frames
4.3
ASN.1 name
name of a data concept expressed as a valid “typereference” as defined by ISO/IEC 8824-1
4.4
association
semantic relationship between two object classes
4.5
constraint
notation which can be used in association with a type, to define a subtype of that type
[SOURCE: ISO/IEC 8824-1:2008]
4.6
context
universe of discourse in which a name or definition is used
[SOURCE: ISO/IEC 11179-3:2003, 3.3.31]
4.7
contextual name
descriptive word or group of words that labels a data concept within its defined context
4.8
data
re-interpretable representation of information in a formalized manner suitable for communication,
interpretation or processing
Note 1 to entry: Data can be processed by human or automatic means.
[SOURCE: ISO 11179-1:2004]
4.9
data concept
item that may be stored in a data dictionary that refers to an abstraction or thing in the natural world
that can be identified with explicit boundaries and meaning and whose properties and behaviour all
follow the same rules
Note 1 to entry: Data concepts can be classified into the following types: object class, value domain, data element,
aggregate domain, data frame, message, interface dialogue, dictionary document, or module
4.10
data concept identifier
numeric identifier that shall uniquely and unambiguously identify a data concept within the scope of
the DD being managed
4.11
data concept instance
occurrence of a data concept
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4.12
data concept registry
electronic data dictionary that follows precise documented rules for the registration and management
of stored data concepts; it typically also includes advanced features for adding, retrieving, and working
with its contents
Note 1 to entry: The data concept registry contains meta-attributes about data concepts in terms of their names
and representational forms as well as the semantics associated with the data concepts. A data concept registry
may contain data that assists information interchange and re-use, both from the perspective of human users and
for machine-interpretation of data concepts.
4.13
data concept revision
integer that represents the number of edits that have been made to the data concept since the last
update to the major version number
4.14
data concept type
categorization of the kind of data concept
4.15
data concept version
integer that represents the number of normative changes that have been made to approved versions of
the associated data concept
4.16
data dictionary
listing of data concepts and their meta-attributes in a consistent format
4.17
data element
data concept represented by a specific value domain and that describes a single atomic property about
an object class
Note 1 to entry: A data element is composed of an object class, a property of the represented object class and a
value domain.
4.18
data frame
data concept represented by a specific aggregate domain and that describes information of interest
through a useful grouping of more atomic properties about one or more object classes
Note 1 to entry: The grouping may be a set, sequence, or a choice.
4.19
data model
graphical and/or lexical representation of data, specifying their properties, structure, and inter-
relationships
[SOURCE: ISO 11179-1:2004, 3.2.7]
EXAMPLE A data model might specify that a “Vehicle” may be described by a variety of properties, such as:
“make”, “model”, “year”, and “vin” (vehicle identification number). Likewise, a “Collision” might be described by
properties such as “occurenceTime”, “severity”, and “vehiclesInvolvedCount”. Finally, the model might depict that a
Collision has a many-to-many relationship to a Vehicle. The following provides a sample graphic of this data model.
Note 1 to entry: Within the scope of this part of ISO 14817, data models are depicted using UML Class Diagrams.
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Figure 1 — Sample data model
4.20
data type
set of distinct values, characterized by properties of those values and by operations
...