A Simulator Study on the Driver Failure and Traffic Conflict in Lane Change Situation on 2+1 Road

This study examined driver failure and traffic conflict using a driving simulator during lane-change scenarios on a 2+1 road, focusing on differences between day and night conditions. Data on driver failure status and driving behavior were captured through a survey. The study also evaluated driver performance and electrodermal activity. The findings revealed that nighttime lane changes had a shorter minimum time-to-collision (MTTC), indicating a higher traffic conflict severity compared to daytime (p = 0.046). It was also found that increased driver stress was correlated with decreased MTTC (p = 0.039). Drivers who were prone to making mistakes were closer to collisions (p = 0.005), whereas those prone to violations avoided collisions better (p = 0.027). Despite facing traffic conflicts, the drivers reported no perception, decision, or planning errors. Moreover, “procedure error” was the most common cause of failure. The study suggests that advanced human-machine interface systems are required to aid perception and decision-making and recommends future research with larger, diverse samples.

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Publication Details

Published
2024-09-17
DOI
https://doi.org/10.1145/3641308.3685026
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

A Simulator Study on the Driver Failure and Traffic Conflict in Lane Change Situation on 2+1 Road

Ji Hyun Yang, Carl Johnsson, Sara Hong, Carmelo D’Agostino
Traffic and Road Safety
article

A Simulator Study on the Driver Failure and Traffic Conflict in Lane Change Situation on 2+1 Road

Ji Hyun Yang, Carl Johnsson, Sara Hong, Carmelo D’Agostino
article en

Abstract

This study examined driver failure and traffic conflict using a driving simulator during lane-change scenarios on a 2+1 road, focusing on differences between day and night conditions. Data on driver failure status and driving behavior were captured through a survey. The study also evaluated driver performance and electrodermal activity. The findings revealed that nighttime lane changes had a shorter minimum time-to-collision (MTTC), indicating a higher traffic conflict severity compared to daytime (p = 0.046). It was also found that increased driver stress was correlated with decreased MTTC (p = 0.039). Drivers who were prone to making mistakes were closer to collisions (p = 0.005), whereas those prone to violations avoided collisions better (p = 0.027). Despite facing traffic conflicts, the drivers reported no perception, decision, or planning errors. Moreover, “procedure error” was the most common cause of failure. The study suggests that advanced human-machine interface systems are required to aid perception and decision-making and recommends future research with larger, diverse samples.

Kookmin University (KR), Lund University (SE)
European Commission, National Research Foundation, Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology, National Research Foundation of Korea
Openalex Percentile: Top 82%
Traffic and Road Safety
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A Simulator Study on the Driver Failure and Traffic Conflict in Lane Change Situation on 2+1 Road — Ji Hyun Yang, Carl Johnsson, et al. · (2024) | TGRS Research Map | TGRS