BSI PD CEN/TR 17297-1:2019
$198.66
Intelligent transport systems. Location referencing harmonization for Urban ITS – State of the art and guidelines
Published By | Publication Date | Number of Pages |
BSI | 2019 | 58 |
This document presents:
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a concise tutorial on location referencing methods;
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applicable location referencing specifications, standards and directives;
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an introduction into challenges given by a multiplicity of different location referencing systems.
PDF Catalog
PDF Pages | PDF Title |
---|---|
2 | undefined |
8 | 1 Scope 2 Normative references 3 Terms and definitions 4 Symbols and abbreviations |
9 | 5 Overview |
10 | 6 Introduction to location referencing 6.1 Maps 6.2 Basic concepts of location referencing |
12 | 7 Profiles of location referencing methods 7.1 General 7.2 Location referencing by coordinates 7.2.1 General 7.2.2 Coordinates, coordinate tuples and coordinate sets |
13 | 7.2.3 Coordinate systems and coordinate reference systems |
14 | 7.2.4 Map projections |
15 | 7.2.5 Commonly used coordinate reference systems |
17 | 7.2.6 TPEG-GLR 7.3 Pre-coded location referencing 7.3.1 General |
18 | 7.3.2 Methods 7.3.2.1 Location referencing by geographic identifiers |
19 | 7.3.2.2 Linear referencing |
20 | 7.3.2.3 ALERT-C |
21 | 7.4 Dynamic location referencing 7.4.1 Basic concepts |
22 | 7.4.2 Methods 7.4.2.1 AGORA-C™ |
23 | 7.4.2.2 OpenLR™ 7.4.2.3 TPEG-ULR |
24 | 8 Usage of location referencing methods in some standards for ITS 8.1 General 8.2 DATEX II 8.3 TPEG |
25 | 8.4 Geographic Data Files (GDF) 8.5 TN-ITS |
26 | 8.6 INSPIRE 8.7 Rail – Telematics Applications for Passengers/Freight (TAP/TAF) 8.8 Air 8.9 Multimodal public transport standards: Transmodel and NeTEx |
27 | 9 Data exchange between actors 9.1 Scenarios 9.1.1 General 9.1.2 Scenario 1: Bi-lateral exchange 9.1.3 Scenario 2: Data-warehousing – data aggregation |
28 | 9.2 Use cases 9.2.1 General 9.2.2 Sharing between centres 9.2.2.1 Description |
29 | 9.2.2.2 Challenges |
30 | 9.2.3 On board dynamic routing for a vehicle 9.2.3.1 Description 9.2.3.2 Challenges |
31 | 9.2.4 Person centred dynamic trip planning 9.2.4.1 Description 9.2.4.2 Challenges 9.2.5 Vehicle detection and monitoring in public transport 9.2.5.1 Description |
33 | 9.2.5.2 Challenges |
34 | 9.2.6 Updating of persistent data 9.2.6.1 Description 9.2.6.2 Challenges 10 Problem statements 10.1 General |
35 | 10.2 Location accuracy 10.2.1 Overview 10.2.2 Examples concerning location accuracy |
37 | 10.3 Timeliness and currency |
38 | 11 Expected demands of future applications 11.1 Emerging applications 11.1.1 General 11.1.2 Actual trip plan provision |
39 | 11.1.3 Dynamic car-pooling 11.1.4 Driver Guidance |
40 | 11.1.5 Car-sharing and bicycle-sharing or on demand services 11.1.6 Smart parking 11.1.7 Electronic management and exchange of traffic regulations |
41 | 11.2 Main concerns of public transport 11.2.1 Demands 11.2.2 Issues and problem description: aggregation platforms |
43 | 11.2.3 Issues and problem description: cross-sector interoperability |
44 | 12 Approaches for improvement 12.1 Objectives 12.2 General approaches for improvement |
46 | 12.3 Existing EU approaches concerning transport-related data set access 12.3.1 Overview |
47 | 12.3.2 The context of multimodal information provision: EU priority action A |
49 | 12.3.3 The INSPIRE directive |
50 | 12.3.4 The context of real-time traffic information provision: priority action B |
51 | 12.4 Preliminary conclusions 12.5 Quality |