Synergistic Influence of Rainstorm and Waterlogging on Drivers’ Driving Behavior—An Experimental Study Based on High-Fidelity Driving Simulator

Xiaoyong Ni, Hong Huang, Ruiqi Li, Anying Chen, Yi Liu, Han Xing, Kai Liu and Ming Wang
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Xiaoyong Ni: School of National Safety and Emergency Management, Beijing Normal University at Zhuhai, Zhuhai 519087, China
Hong Huang: Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
Ruiqi Li: Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
Anying Chen: Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
Yi Liu: Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
Han Xing: Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
Kai Liu: School of National Safety and Emergency Management, Beijing Normal University at Zhuhai, Zhuhai 519087, China
Ming Wang: School of National Safety and Emergency Management, Beijing Normal University at Zhuhai, Zhuhai 519087, China

Sustainability, 2022, vol. 14, issue 14, 1-20

Abstract: Drivers are vulnerable to inclement weather such as heavy rainstorms and severe rain-induced waterlogging. A thorough investigation of drivers’ driving behavior during rainstorms and waterlogging is a strong basis on which characteristics of traffic flow in such circumstances could be thoroughly studied; however, relevant studies from the individual perspective are very rare. In this paper, an experiment based on a driving simulator investigates the synergistic influence of rainstorm and waterlogging on drivers’ driving behavior, where a total of 47 drivers are recruited, and 30 circumstances with diverse rainfall intensities or water depth are included. The dataset of drivers’ driving behavior obtained from the experiment is furtherly analyzed using two-way analysis of variance (two-way ANOVA) and statistical analysis. The results show that rainfall, waterlogging, and their synergistic influence significantly reduce vehicles’ speed, acceleration, and deceleration, and increase headway distance generally. This indicates that the drivers tend to adopt a more conservative driving strategy when encountering stronger rainfall and more severe waterlogging. Moreover, waterlogging was found to have a much more significant impact on vehicles’ motion parameters than rainfall, and should be viewed with more importance. This study quantitatively analyzes drivers’ driving behavior from the individual perspective in circumstances of rainstorm and waterlogging, and the findings in turn strengthen our understanding of the impacts on driving behavior.

Keywords: drivers’ driving behavior; rainstorm; waterlogging; driving simulator (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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