Deliverable interview available now!

Deliverable interview available now!

Dive right into the 31 public deliverables of the i-DREAMS project by following up on this interesting interview series. This time, we focus on deliverable 3.3, which focuses on the toolbox of recommended interventions to assist drivers in maintaining a Safety Tolerance Zone.


The i-DREAMS project aims to set up a framework for the definition, development, testing and validation of a context-aware safety envelope for driving called the ‘Safety Tolerance Zone’. The conceptual framework of the i-DREAMS platform integrates aspects of monitoring (such as context, operator, vehicle, task complexity and coping capacity), to develop a Safety Tolerance Zone for driving. Real-time (in-vehicle) interventions and post-trip interventions will help to maintain the Safety Tolerance Zone and provide feedback to the driver.

This conceptual framework will be tested in simulator studies and three stages of on-road trials in Belgium, Germany, Greece, Portugal and the United Kingdom with a total of 600 participants representing car, bus, truck, tram and train drivers.

The main purpose of this deliverable is to explain how exactly the real-time and the post-trip interventions provided by the i-DREAMS platform are operationalized.

Partner project: MEDIATOR

Partner project: MEDIATOR

MEDIATOR is the acronym for “MEdiating between Driver and Intelligent Automated Transport systems on Our Roads“.

MEDIATOR will develop a mediating system for drivers in semi-automated and highly automated vehicles, resulting in safe, real-time switching between the human driver and automated system based on who is fittest to drive.

MEDIATOR pursues a paradigm shift away from a view that prioritises either the driver or the automation, instead integrating the best of both.

Partner project: ADAS&ME

Partner project: ADAS&ME

ADAS&ME is the acronym for “Adaptive ADAS to support incapacitated drivers Mitigate Effectively risks through tailor made HMI under automation”.

The project will develop ADAS…

  • … that incorporate driver / rider statesituational / environmental context and…
  •  adaptive HMI
  • … to automatically hand over different levels of automation and thus…
  • … ensure safer and more efficient road usage
  • … for all vehicle types (conventional and electric car, truck, bus, motorcycle)
A look back at the simulator trials for truck drivers

A look back at the simulator trials for truck drivers

Watch this video and get an update on the recent simulator trials for truck drivers. Found out what we have learned and what the trials were all about.

Deliverable 3.1 – interview

Deliverable 3.1 – interview

Intermediate progress output is reported via 31 public deliverables that will be made available here, on the i-DREAMS website. 

We had an interesting talk with Rachel Talbot from project partner Loughborough University, author of Deliverable 3.1. This report describes the underpinning framework that relates to driver and context monitoring in the i-DREAMS platform on which the practical development, testing and validation will be built upon.


“It is unlikely that a ‘one size fits all’ approach will be appropriate when designing the i-DREAMS platform. We will have to optimize for each transport mode considered”.

Rachel TalbotLoughborough University

D3.1-Interview_FINAL_EN

Deliverable 2.1 – interview

Deliverable 2.1 – interview

Intermediate progress output is reported via 31 public deliverables that will be made available here, on the i-DREAMS website. 

Deliverable 2.1 reviewed and assessed state-of-the art approaches and methods to monitor the driver’s mental state and contextual factors of the driving environment that impact task demand. In addition, a selection of driver trait factors (including measurement methods) were summarized and driver behaviour indicators were reviewed.

Learn all about deliverable 2.1 by reading this interview with Susanne Kaiser from project partner KFV.


“The diagnostic power of an intervention system that is dynamic and that is based on the driver’s state and environment information, is what makes i-DREAMS unique”.

Susanne Kaiser – KFV

D2.1-Interview_FINAL

Safety Tolerance Zone

Safety Tolerance Zone

i-DREAMS aims to define, develop test and validate the concept of the ‘Safety Tolerance Zone’. This concept is an abstract entity, informed by established theory. The term ‘Safety Tolerance Zone’, although abstract in nature, refers to a real phenomenon, i.e. self-regulated control over transportation vehicles by (technology assisted) human operators in the context of crash avoidance. 

i-DREAMS project flyer

i-DREAMS project flyer

Discover everything about the i-DREAMS project through this comprehensible triptych flyer.

Please click on the images for the full PDF version.

New opportunities to tackle road safety

New opportunities to tackle road safety

Several factors of driver state negatively impact road safety, such as distraction (in-vehicle or external), fatigue and drowsiness, health concerns (e.g. illness, frailty, cognitive state) and extreme emotions (e.g. anxiety, stress, anger). Moreover, differences in socio-cultural factors are still among the main determinants of road risks. At the same time, technological developments make massive and detailed operator performance data easily available. For example via new in-vehicle sensors that capture detailed driving style and contextual data. This creates new opportunities for the detection and design of customised interventions to mitigate the risks, increase awareness and upgrade driver performance, constantly and dynamically. The optimal exploitation of these opportunities is the challenge that i-DREAMS faces

How will i-DREAMS make a difference?

How will i-DREAMS make a difference?

Prof. dr. Tom Brijs, IMOB-UHasselt (project co-ordinator):

“i-DREAMS will make a significant step forward towards a safer transport system by taking advantage of increasing automation. We specifically focus on the driver-vehicle-environment interactions and on the human factors affecting the behaviour of drivers. We will make use of technology to monitor and analyse driving behavior. This technology can intervene both during and after the ride. During experiments, for example, sensors in the steering wheel will monitor the driver’s heart rhythm, so that both the driving behavior and the alertness and emotional state of the driver are measured in real-time. For example, the car could give a warning if the sensor detects that the driver is no longer concentrated. Even after the car ride, the driver can be briefed about any dangerous traffic situations that occurred while driving. This can have a sensitizing effect.