Abstract

Road crashes cause serious loss of life and property. Among all vehicles, buses are more likely to encounter crashes. In recent years, the advanced driving assistance system (ADAS) has been widely used in buses to improve safety. The warning system is one of the key functions and has proven effective in reducing crashes. However, drivers often ignore or overreact to ADAS warnings during naturalistic driving scenarios. Therefore, reactions of bus drivers to warnings need further investigation. In this study, bus drivers’ responses to lane departure warning (LDW) and forward collision warning (FCW) were investigated using 20-day naturalistic driving data. These reactions could be classified into three categories, namely positive, negative, and overreaction or emergency, by employing the Gaussian mixture model. The authors constructed a framework to quantify drivers’ reactions to the warning and study the reaction characteristics in different environments. The results indicate that drivers’ reactions to FCW were more positive than to LDW, drivers reacted more positively to LDW and FCW while driving on highways than on urban roads, and drivers reacted more positively at night to LDW and FCW than during daytime. This study gives support to an adaptive ADAS considering varying bus driver characteristics and environments.

Highlights

  • Published: 5 August 2021With the increasing number of vehicles, road safety is attracting more attention all over the world

  • This study investigates the reaction of bus drivers to lane departure warning (LDW) and forward collision warning (FCW), which is rare in previous studies

  • Previous studies have shown that the acceptance of the advanced driving assistance system (ADAS) warning varies between drivers and the same driver’s response to the ADAS warning in different environments varies [48]

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Summary

Introduction

With the increasing number of vehicles, road safety is attracting more attention all over the world. According to the report of the World Health Organization in 2018, road traffic crashes cause 1.35 million deaths every year and is the ninth largest cause of human death. By 2030, road crashes are expected to increase from the ninth factor of mortality to the seventh, accounting for approximately 1.8 million deaths per year [1]. In China, from 2009 to 2013, there were 14,000 road traffic crashes caused by buses, resulting in 3500 deaths and 16,000 injuries. The number of crashes and deaths account for about 1% of the total number of road traffic crashes in China but the number of buses only accounts for 0.2% of the total number of motor vehicles in China [2].

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