Simulation-Based Research on Driver Visibility of Black-and-White Striped Vehicles

• Published in: Journal of advanced transportation Vol. 2020; no. 2020; pp. 1 - 11
• Main Authors: Cao, Minghua, Zhu, Tong, Li, Qing, Xie, Pei, Zhao, Runqing
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; Hindawi Limited; Hindawi-Wiley
• Subjects: Color; Drivers; Experiments; Fatalities; Identification; Impact strength; Lighting; Simulation; Standard deviation; Target recognition; Transportation; Variance analysis; Vehicles; Visibility
• ISSN: 0197-6729; 2042-3195
• DOI: 10.1155/2020/8848123

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.