Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance?
Artikel i vetenskaplig tidskrift, 2020

This study demonstrates the need for a holistic safety-impact assessment of an advanced driver assistance system (ADAS) and its effect on eye-glance behaviour. It implements a substantial incremental development of the what-if (counterfactual) simulation methodology, applied to rear-end crashes from the SHRP2 naturalistic driving data. This assessment combines (i) the impact of the change in drivers’ off-road glance behaviour due to the presence of the ADAS, and (ii) the safety impact of the ADAS alone. The results illustrate how the safety benefit of forward collision warning and autonomous emergency braking, in combination with adaptive cruise control (ACC) and driver assist (DA) systems, may almost completely dominate the safety impact of the longer off-road glances that activated ACC and DA systems may induce. Further, this effect is shown to be robust to induced system failures. The accuracy of these results is tempered by outlined limitations, which future estimations will benefit from addressing. On the whole, this study is a further step towards a successively more accurate holistic risk assessment which includes driver behavioural responses such as off-road glances together with the safety effects provided by the ADAS.

driver behavior

simulation

Evaluation

Advanced drivers assistance systems

driver behavior modelling

Författare

Jonas Bärgman

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet, Olycksanalys och prevention

Trent Victor

Volvo Cars

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

IET Intelligent Transport Systems

1751-956X (ISSN) 1751-9578 (eISSN)

Vol. 14 9 1058-1067

Quantitative Driver Behaviour Modelling for Active Safety Assessment Expansion (QUADRAE)

VINNOVA, 2016-01-01 -- 2019-12-31.

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Hälsa och teknik

Ämneskategorier

Infrastrukturteknik

Tillämpad psykologi

Systemvetenskap

DOI

10.1049/iet-its.2018.5550

Mer information

Senast uppdaterat

2020-11-19