Findings of a large-scale European naturalistic driving study: the i-DREAMS project.

Each year, road crashes result in over a million fatalities globally. Understanding driving behavior is thus essential to improve road safety. To that end, technological advances can help assist drivers real-time, as soon as they reach unsafe driving boundaries, but also after their trip to help them improve their long-term driving habits. This is the aim of the naturalistic driving study (NDS) presented in this paper. Relying on the well-known interrelation between task complexity-coping capacity (Fuller, 2005), this NDS conceptualizes a safety-tolerance-zone (STZ) concept to push drivers back into their safety envelope and implements it in the large-scale i-DREAMS project. This NDS develops a four-stage five-country experiment, collecting data in simulator and real-road conditions, across five EU countries covering four modes. The experiments result in about four million kilometres of driving data that provide insights on driving behavior in different conditions. The main objective of this paper is accordingly to set an example to future NDS, by highlighting the operational setting, main analysis findings, but also shedding light on the more practical experimental aspects and challenges, mostly during times of pandemic, in a world of increasing data regulations and restrictions.

Authors

Institutions

Publication Details

Journal
Transportation research procedia
Published
2025-01-01
DOI
https://doi.org/10.1016/j.trpro.2025.04.056
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Findings of a large-scale European naturalistic driving study: the i-DREAMS project.

Constantinos Antoniou, Evelien Polders, Christelle Al Haddad, Tom Brijs
Transportation research procedia
Traffic and Road Safety
article

Findings of a large-scale European naturalistic driving study: the i-DREAMS project.

Constantinos Antoniou, Evelien Polders, Christelle Al Haddad, Tom Brijs
article en

Abstract

Each year, road crashes result in over a million fatalities globally. Understanding driving behavior is thus essential to improve road safety. To that end, technological advances can help assist drivers real-time, as soon as they reach unsafe driving boundaries, but also after their trip to help them improve their long-term driving habits. This is the aim of the naturalistic driving study (NDS) presented in this paper. Relying on the well-known interrelation between task complexity-coping capacity (Fuller, 2005), this NDS conceptualizes a safety-tolerance-zone (STZ) concept to push drivers back into their safety envelope and implements it in the large-scale i-DREAMS project. This NDS develops a four-stage five-country experiment, collecting data in simulator and real-road conditions, across five EU countries covering four modes. The experiments result in about four million kilometres of driving data that provide insights on driving behavior in different conditions. The main objective of this paper is accordingly to set an example to future NDS, by highlighting the operational setting, main analysis findings, but also shedding light on the more practical experimental aspects and challenges, mostly during times of pandemic, in a world of increasing data regulations and restrictions.

Transportation research procediaVol. 86
Technical University of Munich (DE), Hasselt University (BE)
Openalex Percentile: Top 88%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.