Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance?
Autor: | Trent Victor, Jonas Bärgman |
---|---|
Rok vydání: | 2019 |
Předmět: |
Risk analysis
Counterfactual thinking 050210 logistics & transportation Iterative and incremental development Computer science business.industry Mechanical Engineering 05 social sciences Transportation Advanced driver assistance systems 010501 environmental sciences Collision 01 natural sciences Risk analysis (engineering) 0502 economics and business business Law Cruise control Collision avoidance Risk management 0105 earth and related environmental sciences General Environmental Science |
Zdroj: | IET Intelligent Transport Systems. 14:1058-1067 |
ISSN: | 1751-9578 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |