Modeling ratings of in-vehicle alerts to pedestrian by leveraging field operational tests data in a controlled laboratory study
| Autor: | Panagiotis Matsangas, Jan-Erik Källhammer, Kip Smith |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
Engineering business.industry media_common.quotation_subject 05 social sciences Poison control Human factors and ergonomics Transportation Regression analysis Pedestrian Collision Transport engineering Perception 0502 economics and business Automotive Engineering In vehicle Leverage (statistics) 0501 psychology and cognitive sciences business 050107 human factors Applied Psychology Civil and Structural Engineering media_common |
| Zdroj: | Transportation Research Part F: Traffic Psychology and Behaviour. 46:413-425 |
| ISSN: | 1369-8478 |
| DOI: | 10.1016/j.trf.2016.06.021 |
| Popis: | We show how to leverage expensive field operational tests (FOT) data in a controlled laboratory study when defining an in-vehicle algorithm that alerts drivers to pedestrians. We used an empirical approach that quantifies the relative level with which drivers are likely to accept alerts to pedestrians. The approach was used in two studies to investigate a range of contextual factors known to influence driver ratings of alerts to pedestrians issued by a driver-assistance system. Regression analysis shows that four factors consisting of combinations of pedestrian location and motion relative to the road ahead of the vehicle explain 85% of the variability in drivers’ ratings of alerts. Adding two factors related to the uncertainty of the pedestrians’ future path improves the model slightly. These findings suggest that drivers’ assessment of the danger associated with pedestrians derives largely from the possibility that they might move into the vehicle’s path, even when the vehicle is not on a collision course with the pedestrians. The less probable such an event seems, the less accepted an alert will be. Time to arrival (TTA) improved the regression model only when restricted to pedestrians in clear need of an alert, but was also found to have an effect in alert timing. This finding suggests that four contextual factors largely define the perceptual cues that drivers use to rate alerts to pedestrians. |
| Databáze: | OpenAIRE |
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