STUDY OF TARGET VISIBILITY ON THE ROAD WITH DRIVING AS WORKLOAD

摘要

Existing models to predict night-time target visibility on a road are mainly based on psychophysical experiments conducted in laboratory environments, which may not be representative to predict target visibility during actual driving conditions. Target visibility, under mesopic conditions, with driving as workload is investigated in this paper by using a driving simulator. Results show that driving workload leads to a reduced detection rate and an increased reaction time, which means that target visibility is impaired during driving conditions. The corresponding target visibility levels (VL) are calculated for different workloads. The derived VL values with driving workload conditions are higher than the currently recommended VL value, which indeed suggests that the effect of driving workload is not included. We defined the mesopic visual performance (MVP) model as a combination of detection rate and reaction time which provides another way for describing the effect of driving workload on target visibility.