EuroRoadS Quality Management Plan

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1 EuroRoadS Quality Management Plan Thomas Wiltschko University of Stuttgart in Geographic Data Production 14th February 2006 in Paris, France

2 Current information chain road data road data road data traffic data geogr. data geogr. data roaddata traffic data geogr. data EuroRoadS Interface road maintenance road map (ADAS) road map (LBS) RADEF GDF Administrative organisation A Company B Service C Data provider Content provider Information provider Service provider EuroRoadS Quality Management Plan 2

European Project EuroRoadS Objective: Creation of pan-european infrastructure of road data Specification framework with data structure, data content and data quality, exchange format and mechanism,

3 European Project EuroRoadS Objective: Creation of pan-european infrastructure of road data Specification framework with data structure, data content and data quality, exchange format and mechanism, and quality assurance Prototypical realisation and evaluation by test fields Recommendations for implementation and exploitation Duration: March 2004 August 2006 Budget: 3.7 million Consortium members National surveying and mapping agencies Lantmäteriet (S), Ordnance Survey (UK), Institut Géographique National (F), Bundesamt für Eich- und Vermessungswesen (A) National road administrations Vägverket (S), Bayerisches Verkehrsministerium (D) EuroGeographics (F), ERTICO (B), PTV (D), IAGB (D) EU-project within econtent-programme EuroRoadS Quality Management Plan 3

4 Introduction Provision of quality assured data in an application needs a quality management within the entire information process Data processing Quality assurance Quality assurance Quality assurance DB_1 DB_2 DB_n EuroRoadS - Interface Application_1 Quality assurance Application_n = fixed set of inherent quality characteristics Quality assurance Data provider Content provider Information provider Service provider EuroRoadS Quality Management Plan 4

A quality model for an uniform unambiguous quality description Evaluation methods to determine the effective data quality Quality assurance measures to realize an information

5 A quality model for an uniform unambiguous quality description Evaluation methods to determine the effective data quality Quality assurance measures to realize an information process which fulfills the quality requirements Documentation of the quality values and the processes Requirements for a quality management concept EuroRoadS Quality Management Plan 5

6 Structure of the quality model Quality phenomenon describe Quality characteristic make concret Fixed set of inherent quality characteristics ensures the uniform quality description Qualitätsparameter Quality parameter quantify Various quality parameters ensure the necessary flexibility to describe heterogeneous data types Qualitätsforderung Quality requirement formulated by Quality Qualitäts- parameter value determine Quality evaluation method EuroRoadS Quality Management Plan 6

7 Quality characteristics dependability characteristics: describe the time related aspect of information quality integrity characteristics: describe the applicability of information accuracy characteristic: describe the limitation of accuracy and resolution of measurement and interpretation availability up-to-dateness completeness consistency correctness accuracy fixed set of inherent quality characteristics EuroRoadS Quality Management Plan 7

8 Evaluation methods effort manual semi-automatic automatic pre-estimate use external knowledge or investigations Indirect evaluation use only data from data set itself Direct internal evaluation use external reference data Direct external evaluation Quality evaluation methods EuroRoadS Quality Management Plan 8

9 Evaluation methods Recommendations for the evaluation procedure 1. Apply indirect methods as far as possible 2. Apply direct internal methods as far as possible 3. Carry out sampling procedures for remaining quality parameters by a multi-level quality control plan n Start with small sampling size N Increase sampling size as long as the result is statistic reliable Transfer result on to entire database r assumed [%] recommended [%] absolute EuroRoadS Quality Management Plan 9

10 Quality assurance measures Objective: Implementation of quality assurance measures in the information process to fulfill required quality level Procedure Analysing of existing information processes Detection of existing quality gaps with the information process Developing of adequate measures to assure quality error avoidance error control e.g. use data sources of better quality error toleration e.g. use redundancies error detection e.g. carry out a control an rework erroneous data Implement quality assurance measures Verify effectiveness of the quality assurance measures EuroRoadS Quality Management Plan 10

Formalised method for failure avoidance by Failure Mode and Effects Analysis

11 Formalised method for failure detection by cause and effect diagram adapted to issues of geo data processing Methods for detection of error sources Formalised method for failure avoidance by Failure Mode and Effects Analysis (FMEA) adapted to issues of geo data processing EuroRoadS Quality Management Plan 11

12 Analysing procedure Probabilistic model to evaluate information quality based on information flow chart as model of the information process Identification of quality gaps Testing of developed quality assurance measures by simulation Documentation of the information process Topology error corrected by changing geometry Change geometry automatically Data geometrically and coded correctly Q Check topology yes no =1 Data topologically checked Check topology manually & Change geometry manually (4) system component topology check and reworking EuroRoadS Quality Management Plan 12

13 Metadata Contains quality description and used evaluation methods Application in the metadata server for request part of the exchange format to deliver road data combined with quality description ISO ER Metadata Server Metadata Data Metadata in the ER exchange format EuroRoadS Quality Management Plan 13

000 towns and villages: 600 in 59 communities Independent district-free cities of Ansbach, Rothenburg and Dinkelsbühl within

14 Geographic information on the test area rural area located in the Western part of Bavaria between Baden-Württemberg and the Nuremberg conurbation area area: 2000km 2 inhabitants: towns and villages: 600 in 59 communities Independent district-free cities of Ansbach, Rothenburg and Dinkelsbühl within the district Road network (roughly): Autobahn: 100 km Federal roads: 100 km State roads: 500 km District roads: 500 km Community roads: 2800 km together about 4000 km EuroRoadS Quality Management Plan 14

Initial data supply explicit speed limits existing speed limit data on Highways (Highway agencies Bavaria) Autobahn near Nuremberg Information on -

road picture data base of the BBB for Federal and State Roads State Road near Ansbach pictures every 20 meters Information on - network kilometer -

15 Initial data supply explicit speed limits existing speed limit data on Highways (Highway agencies Bavaria) Autobahn near Nuremberg Information on - network kilometer and length - value of the speed limit - location between exits - date(s) of ruling - responsible surveillance center STRADIVARI road picture data base of the BBB for Federal and State Roads State Road near Ansbach pictures every 20 meters Information on - network kilometer - geographic location - date of the picture - road condition -slope - road width - responsible surveillance center EuroRoadS Quality Management Plan 15

16 Initial data supply explicit speed limits Evaluation of different speed limit data sources (implicit, local knowledge, database, field enquiry) Documentation of quality for speed limit data Quality assurance measures (e.g. guidelines, recommendations for data capturing and maintenance) Data source City of Ansbach District Communities ruling paper research local knowledge STRADIVARI picture DB field enquiry Overview of initial data supply no yes no yes yes yes no yes no yes, samples for control yes, to fill gaps existing data y, highways only y, highways only yes, samples for control y, highways only quality (4) field (correctnessin %) enquiry 99 (3) data base (2) local knowledge (1) implicit quality evaluation working time rate of change effort(workingtime in personmonth; accumulated) EuroRoadS Quality Management Plan 16

17 Conclusion Integration of EuroRoadS quality concept in PDCA-cycle Verfügbarkeit GPS-Position aus Prädiktion ja 0,90 nein 0,10 Verwenden der prädizierten & aus GPS aus Prädiktion =1 Formulation of quality objectives, and definition of the quality requirements Aktualität Vollständigkeit Konsistenz Korrektheit Genauigkeit fester Satz inhärenter Qualitätsmerkmale GPS-Position Radsensor ds Plausibilitätskontrolle Plausibilitätskontrolle aus Prädiktion ja 0,90 nein 0,10 Verwenden der prädizierten & aus GPS aus Prädiktion =1 Radsensor ds Prädizieren der alte Prädizieren der & Verfügbarkeit Aktualität Vollständigkeit Konsistenz Korrektheit Genauigkeit Documentation of quality and processes by metadata / quality report fester Satz inhärenter Qualitätsmerkmale Act Plan Simulation of quality assurance measures by analysing procedure alte Modelling and evaluation of information process Development and design of quality assurance measures & Proof of efficiency of quality assurance measures Check Reality Do Verification of efficiency of quality assurance measures Using evaluation methods for determination Workshop of parameter on Quality values Assurance Implementation of quality assurance measures into the information EuroRoadS Quality process Management Plan 17

18 plan do check act report D2.2 report D2.3 quality model probabilistic model Conclusion CFD FMEA quality assurance measures specification quality requirements X detection error sources X X X X development of quality assurance measures X X X X verification of the efficiency of quality assurance measures X X X evaluation methods metadata catalogue Implementation of quality assurance measures X determination of information quality X X proof efficiency of quality assurance measures X X X documentation of quality X X X documentation of processes X X report D2.4 report D2.5 report D6.8 EuroRoadS delivers an extended quality management concept for data providing processes to ensure information quality within the entire information chain from supplier to user EuroRoadS Quality Management Plan 18

Thank you for your attention EuroRoadS a pan-european Road Data Solution www.euroroads.org Dr.

19 Thank you for your attention EuroRoadS a pan-european Road Data Solution Dr. Thomas Wiltschko University of Stuttgart Institute for Application of Geodesy to Engineering Phone: thomas.wiltschko@iagb.uni-stuttgart.de EuroRoadS Quality Management Plan 19

FUNDAMENTAL SAFETY OVERVIEW VOLUME 2: DESIGN AND SAFETY CHAPTER G: INSTRUMENTATION AND CONTROL

FUNDAMENTAL SAFETY OVERVIEW VOLUME 2: DESIGN AND SAFETY CHAPTER G: INSTRUMENTATION AND CONTROL PAGE : 1 / 14 SUB CHAPTER G.6 I&C PROCEDURES AND TOOLS 1. STANDARD I&C SYSTEM This section describes the tools used for PAS/SAS (level 1 automation data) and MCP[PICS] (HMI) I&C programming. It includes