A Simulator Study on the Driver Failure and Traffic Conflict in Lane Change Situations on a 2+1 Road
Hong, Sara LU ; Johnsson, Carl LU
; D'Agostino, Carmelo
LU
and Yang, Ji Hyun
(2024)
16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024
In 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Adjunct Conference Proceedings
p.72-77
- 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... (More)
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.
(Less)
- author
- Hong, Sara
LU
; Johnsson, Carl
LU
; D'Agostino, Carmelo
LU
and Yang, Ji Hyun
- organization
- publishing date
- 2024-09-22
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Driver failure, Driver reaction, Driving simulator, Traffic conflict
- host publication
- 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Adjunct Conference Proceedings
- series title
- 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Adjunct Conference Proceedings
- pages
- 6 pages
- publisher
- Association for Computing Machinery (ACM)
- conference name
- 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024
- conference location
- Palo Alto, United States
- conference dates
- 2024-09-22 - 2024-09-25
- external identifiers
-
- scopus:85206375995
- ISBN
- 9798400705205
- DOI
- 10.1145/3641308.3685026
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 Copyright held by the owner/author(s).
- id
- 3931edbd-4473-420b-97e0-259699cb3f95
- date added to LUP
- 2024-12-18 12:44:23
- date last changed
- 2025-04-04 14:10:23
@inproceedings{3931edbd-4473-420b-97e0-259699cb3f95,
abstract = {{<p>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.</p>}},
author = {{Hong, Sara and Johnsson, Carl and D'Agostino, Carmelo and Yang, Ji Hyun}},
booktitle = {{16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Adjunct Conference Proceedings}},
isbn = {{9798400705205}},
keywords = {{Driver failure; Driver reaction; Driving simulator; Traffic conflict}},
language = {{eng}},
month = {{09}},
pages = {{72--77}},
publisher = {{Association for Computing Machinery (ACM)}},
series = {{16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Adjunct Conference Proceedings}},
title = {{A Simulator Study on the Driver Failure and Traffic Conflict in Lane Change Situations on a 2+1 Road}},
url = {{https://lup.lub.lu.se/search/files/207287323/3641308.3685026_1_.pdf}},
doi = {{10.1145/3641308.3685026}},
year = {{2024}},
}