Investigation of Bus Drivers’ Reaction to ADAS Warning System: Application of the Gaussian Mixed Model
| Autor: | Wei Ye, Zhirui Ye, Xiaomeng Shi, Yueru Xu, Feixiang Zhou |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Mixed model
Lane departure warning system Computer science Gaussian Geography Planning and Development TJ807-830 Advanced driver assistance systems Gaussian mixed model Management Monitoring Policy and Law TD194-195 Renewable energy sources Transport engineering symbols.namesake advanced driver assistance systems GE1-350 Warning system Environmental effects of industries and plants Renewable Energy Sustainability and the Environment lane departure warning Collision Environmental sciences symbols forward collision warning Naturalistic driving Loss of life bus drivers’ reaction |
| Zdroj: | Sustainability, Vol 13, Iss 8759, p 8759 (2021) Sustainability Volume 13 Issue 16 |
| ISSN: | 2071-1050 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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