DaCoTa

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DaCoTa
Dacota logo.jpg
General information
Type: Naturalistic driving study
Tested system/service:
Countries: UK, Belgium, France, Greece, The Netherlands, Sweden, Italy, Germany, Austria, Poland, Spain  ? test users
17 partners  ? vehicles
Active from 2010/10/01 to 2012/06/30
Contact
http://www.dacota-project.eu
Pete Thomas
p.d.thomas@lboro.ac.uk
Loughborough University
UK
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Full Project Name: Data Collection Transfer & Analysis

The EU funded SafetyNet project established the European Road Safety Observatory to bring together data and knowledge to support safety policy-making. The project developed the framework of the Observatory and the protocols for the data and knowledge, the ERSO is now a part of the DG-Move website http://ec.europa.eu/transport/road_safety/specialist/index_en.htm.

The DaCoTA project will add to the strength and wealth of information in the Observatory by enhancing the existing data and adding new road safety information. The main areas of work include

  • Developing the link between the evidence base and new road safety policies
  • Establishing a Pan-European accident Investigation Network
  • Bringing a wide variety of data together for users to manipulate
  • Predicting accident trends, presenting data to policy makers
  • Intelligent safety system evaluation
  • Naturalistic driving observations

Details of Field Operational Test

Start date and duration of FOT execution

Geographical Coverage

Link with other related Field Operational Tests

Objectives

DaCoTA will advance the state of the art in six key areas of road safety data.

  1. Road safety management by means of a protocol to collect information on road safety management systems and good practice in knowledge-based policy-making.
  2. In-depth safety related accident data by means of the identification of suitable crash investigation teams within Member States and assistance to develop the local infrastructure to gather in-depth accident and injury causation data.
  3. Collecting and structuring data by means of a road safety data warehouse as a comprehensive and integrated system with aggregate data and information consolidating, organising and making available all existing data and information, necessary for the support of the decision making.
  4. accident forecasting by means of a standardised approach to forecasting casualty trends based on the available data in EU Member States, in relation to safety measures.
  5. eSafety by means of a new accident causation theoretical model following the work done in TRACE and SafetyNet.
  6. Normal driving behaviour by means of the development and validation of a common methodology to record and analyse the behavioural and exposure data; and an implementation plan to setting up joint naturalistic driving observations through Europe.

Results

Lessons learned

Main events

Financing

Summary, type of funding and budget

Cooperation partners and contact persons

  1. VSRC - Loughborough University Vehicle Safety Research Centre (UK) - Coordinator
  2. Belgian Road Safety Institute (BE)
  3. INRETS - Institut National de Recherche sur les Transports et leur Securité (FR)
  4. LAB - Laboratory of accidentology and Biomechanics PSA Peugeot-Citroen/Renault (FR)
  5. NTUA - National Technical University of Athens (EL)
  6. SWOV - Institute for Road Safety Research (NL)
  7. Safer – Vehicle and Traffic Safety Centre (SE)
  8. Dipartimento Idraulica Trasporti e Strade Roma (IT)
  9. Universiteit Hasselt - Instituut voor mobiliteit (BE)
  10. Institut für angewandte Verkehrs- und Tourismusforschung e.V. (DE)
  11. KfV - Kuratorium für Verkehrssicherheit (AT)
  12. Motor Transport Institute (PL)
  13. TRL - Transport Research Laboratory (UK)
  14. Volkswagen (DE)
  15. Medical University of Hannover (DE)
  16. Transportation Research Institute (IL)
  17. Dirección General de Tráfico (ES)

Applications and equipment

Applications tested

Vehicle

Equipment carried by test users

Infrastructure

Test equipment

Methodology

Pre-simulation / Piloting of the FOT

Method for the baseline

Techniques for measurement and data collection

Recruitment goals and methods

Methods for the liaison with the drivers during the FOT execution

Methods for data analysis, evaluation, synthesis and conclusions

Sources of information

http://www.dacota-project.eu

Facts about "DaCoTa"
CompanyLoughborough University +
ContactPete Thomas +
CountryUK +, Belgium +, France +, Greece +, The Netherlands +, Sweden +, Italy +, Germany +, Austria +, Poland + and Spain +
EndedJune 30, 2012 +
Is type ofNaturalistic driving study +
NameDaCoTa +
Number of partners17 +
StartedOctober 1, 2010 +
Websitehttp://www.dacota-project.eu +
Email
This property is a special property in this wiki.
p.d.thomas@lboro.ac.uk +