Work packages

The i-DREAMS project consists of the following 10 work packages:

WP1: Project Management

The success of a project is based on a sound organizational infrastructure that ensures close coordination of activities and a focus on the agreed objectives and deliverables of the project. Effective operational communication between partners and technical coordination between Work Packages is a pre-requisite but a research project also relies on a strong infrastructure that ensures all financial and legal requirements are successfully put in place. In longer term projects the outcomes may evolve, hence close contact with the funding body is also essential. The agreement between partners concerning the ownership of foreground and background knowledge, the IPR and the responsibilities of each partner is developed by the project coordinator. WP1 will comprise two tasks that run continuously through the duration of the project.
Objective: to prepare and implement the organizational framework of the project so that the project can fulfil the objectives in an efficient and effective manner. Coordination of the activities within the project and communication between partners and with external road safety stakeholders and international partners will ensure the smooth operation and the successful achievement of the project objectives.
Leading partner:
Hasselt University

WP2: State of the art on measuring the driver state and technology based risk prevention and mitigation

This WP will review and exploit the state of the art on measuring the state of the driver in terms of balance between the given task demands and the driver’s available resources to cope with the demands. Fuller’s Task-Capability Interface Model provides the theoretical framework for this endeavour. Since task demands can vary tremendously for different travel modes, this will be done in a multimodal manner for all ‘i-DREAMS modes’: car, bus, truck and train (this applies to all sub-tasks). The outcomes of WP2 will serve as direct input for the operational design in WP3.
Objective: Identification of measurable factors contributing to the overall risk level at a given time and documentation of corresponding indicators for all i-DREAMS modes (car, bus, truck, train). Review and assessment of state of the art (in-vehicle) technology suitable to track those indicators and combine them to get a real-time indication of risk. Review and assessment of state of the art user feedback and intervention technologyGive recommendations to WP3 on set of relevant systems suitable for test case implementation
Leading partner: Kuratorium Für Verkehrssicherheit (KFV)

WP3: Operational design of i-DREAMS

WP3 is concerned with the definition and development of a context-aware safety tolerance zone driver and environment assessment and monitoring system. The work will be informed by WP2 and feed into subsequent WPs which will test and validate the system.
Objective: The main objective of WP3 is to develop a comprehensive methodology for: (1) Development of the framework for the operational design for the project; (2) Select the data collection tools and quantify thresholds of interest; (3) Select the most appropriate interventions; (4) Design the experimental protocol and (5) Design procedures for big data handling.
Leading partner: Loughborough University

WP4: Technical implementation

In this work package, the technical implementation of the two main pillars of this project (pillar I: monitoring & assessment of driving and operator context and pillar II: real-time and post-trip interventions) will be carried out.
Objective: The main objectives of WP 4 are: (1) The technical implementation of the data collection framework for operator and context monitoring, i.e. collecting, streamlining, processing and storing the sensor data for real-time processing; (2) The technical implementation of the safety tolerance zone concept, i.e. the continuous calculation based on real-time sensor data of the position of the driver/operator within the safety tolerance zone; (3) The technical implementation of driver assistance interventions (i.e. in real-time while driving) and post-trip (i.e. providing feedback about the safety performance of the driver and using goal setting and social gamification schemes for long-term sustainable behavioural change) for different risk-related scenarios.
Leading partner: CardioID Technologies

WP5: 4-stage, 5-country experiment

WP5, is mainly concerned with the successful simulator- or field testing of experimental protocols and tools designed in WP3 and WP4.
Objective: The main objectives of WP5 are: (1) The organization of the simulator experiments as well as the field studies. (2) The successful execution of the simulator experiments as well as the on road testing trials. (3) The processing and integration of the data collected, using Big Data analytics.
Leading partner: Technische Universität München (TUM)

WP6: Analysis of risk factors

The analysis methodology includes the selection of key metrics, the data processing requirements, and the implementation of appropriate analysis techniques. Following the Big Data analysis and processing carried out in Tasks 4.2 and 5.5, the processed data analysis methods include two families of techniques: (1) Multivariate regression analysis, (i.e. Generalised Linear Modelling techniques), for exploratory analysis in order to identify the key correlations between observed metrics while controlling for the differences between the sample groups. (2) Latent variables analysis (i.e. Principal Component Analysis and Structural Equation Modelling), in order to explore complex relationships between groups of unobserved (or ‘latent’) variables, such as ‘coping capacity’, ‘operator state’, ‘task complexity’ etc.
Objective: This Work Package will develop and implement a methodology for the analysis of risk factors associated with reaching the boundaries of the ‘safety tolerance zone’, including operator and vehicle state factors, as well as task complexity factors. WP6 will develop models reflecting the complex relationship between the above risk factors and the effect of the risk factors on risk. A synthesis of the results will provide an integrated model of risk on the basis of the ‘safety tolerance zone’ concept, as a comprehensive set of indicators describing operator context-aware behaviour and safety level.
Leading partner: National Technical University of Athens (NTUA)

WP7: Evaluation of safety interventions

Objective: This Work Package will develop a methodology for evaluating the interventions to improve driver/operator safety and will test the effectiveness of the i-DREAMS interventions on the basis of the field study data.
Leading partner: Loughborough University

WP8: Road map to market and society

Objective: WP8 concerns the final output of the i-DREAMS research project. Through synthesis of research results, and the consolidation of tools (Task 8.1) as well as exploitation & policy recommendations (Task 8.2), dissemination and utilization of research results the outcomes will reach a broader audience outside the project partners (Task 8.3).
Leading partner: CardioID Technologies

WP9: Stakeholder consultation and dissemination

Objective: WP9 will ensure wide consultation of all relevant stakeholders. It will also guarantee efficient dissemination of the project activities throughout the project to ensure wide outreach of the project’s results and outputs among all groups of stakeholders
Leading partner: European Transport Safety Council (ETSC)

WP10: Ethics requirements

This work package sets out the ‘ethics requirements’ that the project must comply with.
Objective: The objective is to ensure compliance with the ‘ethics requirements’ set out in this work package.
Leading partner: Hasselt University