| Issue |
MATEC Web Conf.
Volume 136, 2017
2017 2nd International Conference on Design, Mechanical and Material Engineering (D2ME 2017)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 5 | |
| Section | Chapter 2: Design | |
| DOI | https://doi.org/10.1051/matecconf/201713602007 | |
| Published online | 14 November 2017 | |
Investigating the Impact of Road Condition Complexity on Driving Workload Based on Subjective Measurement using NASA TLX
1 Industrial Engineering Dept., Universitas Brawijaya (UB), Indonesia
2 Mechanical Engineering Dept., Universitas Brawijaya (UB), Indonesia
a Corresponding author: sugiono_ub@ub.ac.id
Prior researchers indicate that mental load is one of the most important contributors to a traffic accident. The aim of the paper is to investigate the impact and the correlation of road condition and driving experience on driver’s mental workload. The driving test consists of 3 road complicity situation (urban road, highway, rural road) with 26 drivers with average 21 years old in different experience level (average 4.08 years’ experience). NASA TLX questioner is used as subjective driver’s mental load measurement with three dimensions relate to the demands imposed on the subject (Mental, Physical and Temporal Demands) and three to the interaction of a subject with the task (Effort, Frustration, and Performance). There are 3 cameras placed on the left side, right side and front car to identify the road condition. According to experiment, it was found that drivers felt that frustration level, business, and mental-demand factors dominate the impact on high-level workload (96.15%). Highway road conditions provide an average overall workload score of 62 (OWS) which was better compared to city road (OWS = 69) and rural road (OWS = 66). Based on street complexity, it is necessary to improve road conditions that resemble highway road by reducing potential hazard.
Key words: Mental driving workload / NASA TLX / Overall workload score (OWS)
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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