Analysis of the Relationship between Road Accidents and Psychophysical State of Drivers through Wearable Devices
Source abstract
Abstract
A driver’s behavior and their psychophysical state are the most common causes of road accidents. The research presented in the paper proposes a method that allows the identification of highly dangerous road stretches/intersections in advance, based on the localization of stressful/relaxing situations measured on drivers. These were measured through the collection of physiological parameters using wearable devices. A correlation between stressful/relaxing situations and locations with high accident rates, based on a historical statistical database (black spots), was investigated. A series of driving tests was conducted in the city of Milan. The first set was mostly oriented to the research and validation of the parameters related to the driver’s psychophysical state. Subsequent tests allowed the definition of a correlation between black spots and relaxing/stressful areas. The results showed that the most stressful areas for drivers fell mainly within those with high accident rates. Furthermore, 80% of the most dangerous zones of the route were identified using this method, thus confirming the validity of the approach as a support tool for a priori preventive analysis for road safety. The wearable devices allowed the study and the integration of specific elements relating to human behavior in the field of road safety, which typically involves a technical-engineering approach.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Heart Rate Variability and Autonomic Control · Sleep and Work-Related Fatigue · Emotion and Mood Recognition
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Laboratory for Mobility and Transport—Politecnico di Milano, Dip. di Design via Durando 38/A, 20158 Milano, Italy
Technology and Design for Healthcare Laboratory—Politecnico di Milano, Dip. di Design via Durando 38/A, 20158 Milano, Italy
IBFM—CNR (Istituto di Bioimmagini e Fisiologia Molecolare—Consiglio Nazionale delle Ricerche), Via F.lli Cervi, 93, 20090 Segrate (MI), Italy
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