Integrated System for driver TRaining and Assessment using Interactive education tools and New training curricula for ALL modes of road transport
TRAIN-ALL aims to develop a computer-based training system for the training and assessment of different land-based driver cohorts (motorcycle riders, novices, emergency drivers and truck drivers) that integrates multimedia software, driving simulator, virtual driving simulator and onboard vehicle sensors into a single modular platform.
Over 80% of all traffic accidents can be directly attributed to the human factor so emphasis must be given to driver operator training. Traffic participants range from car and motorcycle to truck drivers and all need to be trained in a specific way. Indicatively:
- novice drivers of passenger cars have no possibility of enhancing risk awareness and need training in other higher order skills.
- motorcycle drivers have no experience on using safety equipment and low experience on driving different types of motorcycles.
- heavy vehicle drivers get most of their experience on the road and are often involved in specific accident types.
- drivers of emergency vehicles only get a few possibilities to practise on the complexities of interaction with other traffic participants.
There is a pan-European consensus on the fact that driver training needs to expand away from its current focus on controlling the vehicle in traffic, so as to cover ‘higher level’ strategic factors. TRAIN-ALL will improve initial and continuous driving training in order to stimulate road users towards a more responsible behaviour. In this way the project will contribute to the European Road Safety Action Programme’s goal of halving the number of road fatalities in 2010.
The main objectives are to:
- prioritise a set of training scenarios for each driver type
- develop a common and concise ontological framework for computer-based training (CBT) tools, functionalities and scenarios
- develop a cost-efficient and valid methodology to assess simulator reliability and fidelity
- employ intelligent agent technology in order to develop CBT with AmI-based traffic participants
- develop co-operative training scheme and co-driver training (for emergency vehicle co-pilots) scenarios and tools
- develop the appropriate P2P tools to allow CBT networking and even real-time collaboration
- develop a virtual instructor module that will allow autonomous and cost-effective multi-user training by CBT.
- develop and test the method of adaptive training
- develop appropriate training schemes and scenarios for CBT in the use of new driver assistance and information systems
- use an existing motorcycle simulator and adapt it accordingly
- develop cost-effective, high fidelity, low dizziness and modular driving simulator tools for passenger cars and trucks, and a virtual driving simulator for passenger cars
- develop new, improved training and assessment curricula for drivers
- evaluate the viability, usability and usefulness of the developed tools and curricula in ten pilots
- estimate the potential road safety enhancement due to the developed tools and curricula
- produce detailed exploitation and business plans for the developed tools.
Description of work
Work starts with benchmarking and classification activities on CBT tools and curricula for driver training and assessment, to lead to a common CBT and assessment model and prioritisation of training requirements.
The development encompasses building a common system architecture for distributed interoperable driving simulators (ontology-based), and a knowledge management tool to collect and process centrally the trainee performance data from different simulators, as well as a simulator validity assessment methodology.
Enabling technologies will be built, including an ambient intelligence framework, co-operative driving and group training module, an immersive simulation platform for virtual reality (VR)-based training, CBT tools connecting internet network supporting scenario sharing, a virtual instructor and debriefing module, simulation sickness aversion principles and guidelines, enhanced reality and adaptive training module.
The new modules are integrated into different simulator prototypes (motorcycle, passenger car, truck, immersive (VR) simulator and modular/integrated driving simulator).
Developed prototypes will be tested in ten pilots, leading to an impact analysis on the usefulness and value of the use of driving simulators for driver training and assessment.
An information dissemination framework, cost benefit analysis, cost effectiveness analysis and exploitation plans, application guidelines, proposals towards adequate standards, CBT-based training and assessment certification and accreditation schemes complement the work plan.
D1.1 Benchmarking and classification of CBT tools for driver training
D1.2 Training needs and scenario definition
D2.1 Common system architecture for driving simulators based on interoperable federates
D2.2 Knowledge management tool
D2.3 Driving simulator functional validity assessment methodology
D3.1 Ambient intelligence module
D3.2 Co-driving, co-operative and group training modules
D3.3 Immersive simulation platform
D3.4 i3-based tool for networked learning and remote control of simulators
D3.5 Virtual instructor and debriefing modules
D3.6 Dynamic scenario management module
D3.7 ADAS/IVICS simulation module
D3.10 Enhanced reality module
D3.11 Module for controlling adaptive training sequences
D4.1 Adapted motorcycle simulator prototype
D4.2 Adapted truck simulator prototype
D4.3 Adapted car simulator prototype for emergency vehicle drivers
D4.4 Adapted car simulator prototype for novice drivers
D4.5 Adapted VR simulator prototype
D4.6 Multi-purpose driving simulator prototype
D5.3 Proposal for an integrated training curriculum and impact analysis
D6.2 Demonstration pilot results consolidation
D7.3 Cost benefit and cost effectiveness analysis
D7.4 Exploitation and business plans
- Related Info
- Acronym: TRAIN-ALL
- Name of proposal: Integrated System for driver TRaining and Assessment using Interactive education tools and New training curricula for ALL modes of road transport
- Contract number: TST5-CT-2006-031517
- Instrument: STP
- Total cost: 3,702,408 €
- EU contribution: 2,300,000 €
- Call: FP6-2005-Transport 4
- Starting date: 01/11/2006
- Ending date: 31/10/2009
- Duration: 36 months
- Sector: Road
- Objective: Increasing Road, Rail and Waterborne Safety and Avoiding Traffic Congestion
- Research domain: Developing computer-based training systems
- Coordinator: Ms Panou Maria Centre for Research and Technology - Hellas 6th km. Charilaou-Thermi Road GR 57001 Thermi
- E-mail: email@example.com
- Tel: +30 (0)210 9853194
- Fax: +30 (0)210 9853193
- TRL Limited UK
- Universität Stuttgart DE
- Institute of Communication and Computer Systems GR
- Netherlands Organisation for Applied Scientific Research (TNO) NL
- Center for Traffic Sciences at the University of Wuerzburg DE
- Dr. Ing. Reiner Foerst GmbH DE
- Green Dino Virtual Realities BV NL
- Thales Training & Simulation FR
- Institute for Occupational Physiology at the University of Dortmund DE
- C.R.F. Centro Ricerche FIAT IT
- Präsidium der Bayerischen Bereitschaftspolizei DE
- University of Basel, Department of Psychiatry, Center of Applied Technologies in Neuroscience CH
- Statens väg- och transportforskningsinstitut SE
- Universität Passau DE
- Wuerzburger Institut für Verkehrswissenschaften DE
- French National Institute for Transport and Safety Research - INRETS FR