S.R. CEN ISO/TS 17444-2:2017
Superseded
A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.
View Superseded by
ELECTRONIC FEE COLLECTION - CHARGING PERFORMANCE - PART 2: EXAMINATION FRAMEWORK (ISO/TS 17444-2:2017)
Hardcopy , PDF
English
01-01-2017
22-06-2023
National Foreword
European foreword
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 Examination Framework
6 Examination Tests
Annex A (informative) - Examination Test documentation template
Annex B (informative) - Examination Framework considerations
Annex C (informative) - Statistical considerations
Annex D (informative) - Methods for reducing sample sizes for
very high/low probability metrics during the Evaluation
Phase
Annex E (informative) - Example-specific Examination Frameworks
Bibliography
Describes the Examination Framework for the measurement of charging performance metrics defined in ISO/TS 17444-1 to be used during Evaluation and/or on-going Monitoring.
| DocumentType |
Standard
|
| Pages |
114
|
| PublisherName |
National Standards Authority of Ireland
|
| Status |
Superseded
|
| SupersededBy | |
| Supersedes |
| Standards | Relationship |
| ISO/TS 17444-2:2017 | Identical |
| CEN ISO/TS 17444-2:2017 | Identical |
| ISO 12855:2015 | Electronic fee collection — Information exchange between service provision and toll charging |
| ISO 17575-1:2016 | Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging |
| ISO 17573:2010 | Electronic fee collection — Systems architecture for vehicle-related tolling |
| ISO 2602:1980 | Statistical interpretation of test results — Estimation of the mean — Confidence interval |
| ISO/TS 17444-1:2017 | Electronic fee collection — Charging performance — Part 1: Metrics |
| ISO 3534-2:2006 | Statistics — Vocabulary and symbols — Part 2: Applied statistics |
| ISO 3534-1:2006 | Statistics — Vocabulary and symbols — Part 1: General statistical terms and terms used in probability |
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