WP1: Project Management
- D1.1 Project Management Plan (PMP)
- D1.2 Data Management Plan
- D1.3 First update of the PMP and DMP WP1
- D1.4 Second update of the DMP
WP2: State of the art on measuring the driver state and technology based risk prevention and mitigation
- D2.1 State of the art on endogenous factors for monitoring driver state and exogenous factors for task demand assessment and technologies for monitoring driver state and task demand
- D2.2 Overview of state of the art technology for safety interventions (risk prevention and mitigation) and assessment of their effectiveness
WP3: Operational design of i-DREAMS
- D3.1 Framework for operational design of experimental work in i-DREAMS
- D3.2 Toolbox of recommended data collection tools and monitoring methods + conceptual definition of the safety tolerance zone
- D3.3 Toolbox of recommended interventions to assist drivers in maintaining safety tolerance zone
- D3.4 Experimental protocol
- D3.5 Standard protocol for the handling of Big Data
- D3.6 Enhanced toolbox of recommended data collection tools, monitoring methods and interventions including thresholds for the safety tolerance zone
WP4: Technical implementation
- D4.1 A set of flexible modules for sensor data collection, integration and real-time processing
- D4.2 An algorithm for safety tolerance zone calculation
- D4.3 A back-end database storing raw and processed sensor data
- D4.4 A flexible driver-machine interface for real-time warning interventions
- D4.5 A smartphone app (Android) for personalized driving behavioural feedback
- D4.6 A web platform for personalized goal setting, tips & tricks, and social gamification
- D4.7 A guide for driver/operator coaches and trainers on improving safety and ecological driving culture in transport companies based on real driver data
WP5: 4-stage, 5-country experiment
- D5.1 Organization of the driving simulator and on-road trial experiments in i-DREAMS
- D5.2 Description of the driving simulator experiment for identifying safety tolerance zones and the performance of in-vehicle interventions
- D5.3 Description of the on-road driving trials for identifying safety tolerance zones and the performance of in-vehicle interventions
- D5.4 Development of a unified Big Data fusion framework for exploiting driving performance data in i-DREAMS
WP6: Analysis of risk factors
- D6.1 Analysis of task complexity factors
- D6.2 Analysis of coping capacity factors: vehicle and operator state
- D6.3 An integrated model of driver-vehicle-environment interaction and risk
WP7: Evaluation of safety interventions
- D7.1 Methodology for the evaluation of interventions
- D7.2 Effectiveness evaluation of the interventions
WP8: Road map to market and society
- D8.1 Toolkit for vehicle operator safety
- D8.2 Exploitation plans
- D8.3 Policy recommendations
WP9: Stakeholder consultation and dissemination
- D9.1 Report on survey vehicle operator needs
- D9.2 Prototype of project’s website
- D9.3 Dissemination plan
- D9.4 Update of dissemination plan
WP10: Ethics requirements
- D10.1 POPD – Requirement No. 1