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Simulation-Based Research on Driver Visibility of Black-and-White Striped Vehicles
Journal of Advanced Transportation ( IF 2.0 ) Pub Date : 2020-09-01 , DOI: 10.1155/2020/8848123
Pei Xie 1, 2 , Qing Li 3 , Tong Zhu 3 , Minghua Cao 3, 4 , Runqing Zhao 5
Affiliation  

The vehicle color is considered to be a significant factor affecting driver visibility. The primary objective of this study is therefore to determine the impact of black-and-white striped vehicles (BWVs) on driver visibility through simulation-based experiments. In these experiments, subjects were asked to perform front and rear target identification tasks under daylight and twilight conditions. Then, a 2 (lighting conditions) × 2 (vehicle size) × 5 (vehicle color) analysis of variance was conducted for each task. Under the front identification scenario, the main factors affecting visibility were found to be lighting conditions, vehicle size, vehicle color, and the interactions between these factors. Under the rear identification scenario, lighting conditions and vehicle color were found to be the main factors. The results of this study demonstrate that driver visibility of BWVs is poorer than that of other colors of vehicles and that BWV visibility is susceptible to lighting conditions.

中文翻译:

基于仿真的黑白条纹车辆驾驶员可见性研究

车辆颜色被认为是影响驾驶员可见度的重要因素。因此,本研究的主要目的是通过基于模拟的实验来确定黑白条纹车辆(BWV)对驾驶员可见度的影响。在这些实验中,要求受试者在日光和暮光条件下执行前后目标识别任务。然后,针对每个任务进行2(照明条件)×2(车辆尺寸)×5(车辆颜色)的方差分析。在前部识别情况下,发现影响可见性的主要因素是照明条件,车辆大小,车辆颜色以及这些因素之间的相互作用。在后方识别情况下,发现照明条件和车辆颜色是主要因素。
更新日期:2020-09-01
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