How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
To setup a framework for the definition, development, testing and validation of a context-aware ‘Safety Tolerance Zone’ for driving, within a smart Driver, Vehicle & Environment Assessment and Monitoring System (i-DREAMS). Taking into account, on the one hand, driver background factors and real-time risk indicators, and on the other hand, driving task complexity indicators, a continuous real-time assessment will be made to monitor and determine if a driver is within acceptable boundaries of safe operation (i.e. Safety Tolerance Zone). Moreover, safety-oriented interventions will be developed. On the one hand, the to-be-developed i-DREAMS platform will offer a series of in-vehicle interventions, meant to prevent drivers from getting too close to the boundaries of unsafe operation and to bring them back into the safety tolerance zone, while driving. On the other hand, the i-DREAMS platform will allow implementation of two post-trip interventions, meant to motivate and enable human operators to develop the appropriate safety-oriented attitude. i-DREAMS is a 3-year project funded by the European Union’s Horizon 2020 research and innovation programme which aims to set up a platform to define, develop, test and validate a ‘Safety Tolerance Zone’ to prevent drivers from getting too close to the boundaries of unsafe operation by mitigating risks in real-time and after the trip. The acronym “i-DREAMS” stands for a smart Driver and Road Environment Assessment and Monitoring System. The i-DREAMS consortium consists of 13 partners, researchers as well as industry partners, from 8 different countries. 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 customized 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.