Call For Paper - Upcoming Conferences

Research Article | Open Access | Download PDF
Volume 13 | Issue 7 | Year 2026 | Article Id. IJME-V13I7P102 | DOI : https://doi.org/10.14445/23488360/IJME-V13I7P102

Simulation-Based Ergonomic Comfort Assessment of Truck Drivers using a Digital Human Model


Quoc Hoang Pham, Ky Nam Le, Van Tu Nguyen, Thanh Lam Tran

Received Revised Accepted Published
01 May 2026 23 Jun 2026 08 Jul 2026 30 Jul 2026

Citation :

Quoc Hoang Pham, Ky Nam Le, Van Tu Nguyen, Thanh Lam Tran, "Simulation-Based Ergonomic Comfort Assessment of Truck Drivers using a Digital Human Model," International Journal of Mechanical Engineering, vol. 13, no. 7, pp. 16-26, 2026. Crossref, https://doi.org/10.14445/23488360/IJME-V13I7P102

Abstract

This study aims to develop digital human models for a Vietnamese population group using empirical anthropometric data collected from 171 male students aged 20-29 years majoring in automotive engineering at Le Quy Don Technical University. A human body shape estimation method based on two RGB images, captured from the frontal and lateral views, was combined with the parameterized 3D human body model provided by the SMPL-X library to generate the model data. From these data files, key anthropometric parameters were calculated to support the assessment of driver postural comfort during vehicle operation. In addition, the study employed a KAMAZ-6560 truck cabin model and its main cabin components reconstructed from 3D scanning data, thereby determining the geometric dimensions corresponding to the real cabin. Based on the synthesized anthropometric data, three representative models corresponding to the minimum, mean, and maximum body sizes were selected. Siemens NX was then used to perform simulations with the Jack human model and the representative dataset. Driver posture was evaluated according to the comfort-angle criteria proposed by Porter and Gyi. Furthermore, for the original cabin layout, recommendations were proposed for the optimal positions of the seat and pedals when using the mean anthropometric dimensions of the surveyed group. The results show that the current clutch pedal height is 12.8 cm and its inclination is approximately 18° relative to the floor, causing the foot-ankle angle to exceed the comfort limit by about 15°. For the mean anthropometric case, the clutch pedal should be lowered so that the height from the contact point to the floor is within 7-8 cm. For the driver model with a stature of 188 cm, the seat should be moved forward by approximately 10 cm to ensure a comfortable arm working angle during driving.

Keywords

Digital Human Model, Vietnamese Anthropometry, Truck Cabin, Postural Comfort Assessment, Ergonomics.

References

  1. Ngo Xuan Khoa et al., “Several Dimensions, Anthropometric Indices and Nutritional Condition of Freshmen in Hanoi Medical University, Year 2019-2020,” Vietnam Medical Journal, vol. 506, no. 1-2, pp. 1-7, 2021.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  2. Huy G. Nguyen et al., “Reference Values of Body Composition Parameters for Vietnamese Men and Women,” European Journal of Clinical Nutrition, vol. 75, pp. 1283-1290, 2021.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  3. Pham Thi Bich Ngan et al., “General Comments on Anthropometric Characteristics of Vietnamese in their Working Age in 2018-2019,” Journal of Occupational Safety, Health & Environment Activities, 2019.
    [
    Publisher Link]
  4. Nguyen Tan Gi Trong, Biological Constants of Vietnamese People, Medical Publishing House, pp. 1-151, 1975.
    [
    Publisher Link]
  5. Hung Vo, Anthropometric Atlas of Vietnamese in their Working Age: Data and Instructions for Use, Vietnam General Confederation of Labour, and Institute of Occupational Safety and Health Sciences, Science and Technics Publishing House, pp. 1-155, 1986.
    [
    Publisher Link]
  6. Anh Kim Dang et al., “Anthropometric Cut-Off Values for Detecting the Presence of Metabolic Syndrome and Its Multiple Components among Adults in Vietnam: The Role of Novel Indices,” Nutrients, vol. 14, no. 19, pp. 1-14, 2022.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  7. Heiner Bubb et al., Automobilergonomie, Springer Vieweg Wiesbaden, 2015.
    [CrossRef] [Google Scholar] [Publisher Link]
  8. Mong Hien Thi Nguyen et al., “The Algorithm to Automatically Extract Body Sizes and Shapes,” Textile Worker, vol. 65, no. 1, pp. 67-80, 2022.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  9. Dat Tien Nguyen, and Thach Ngoc Hoang, “3D Reconstruction Human Body from Anthropometric Measurements Using Diversity Control Oriented Genetic Algorithm,” Mendel, vol. 27, no. 1, pp. 49-57, 2021.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  10. Thi Minh Kieu Tran, Mau Tung Nguyen, and Thi Van Anh Tran, “Classification of Body Types of Vietnamese Middle-Aged Men in Ho Chi Minh City,” Engineering and Technology for Sustainable Development, vol. 32, no. 5, pp. 28-36, 2022.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  11. Hoang Thi Yen, Phan Nguyen Uyen Nguyen, and Mong Hien Thi Nguyen, “Analysis and Modeling of Adult Male Body Shape Aged 25–45 by CLO3D Software,” BOHR International Journal of Computer Science, vol. 3, no. 1, pp. 1-11, 2024.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  12. Tran Thi Minh Kieu et al., “Analysis of Vietnamese Women's Body Shape from Anthropometric Data,” Fibres and Textiles, vol. 31, no. 1, pp. 1-10, 2024.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  13. Russell Marshall et al., “Advances in Digital Human Modeling II,” Proceedings of the 9th International Digital Human Modeling Symposium, DHM 2025 Loughborough, UK, vol. 1577, 2025.
    [
    CrossRef] [Publisher Link]
  14. A.B Rathod, and R.T Vyavahare, “Design Optimization of Truck Cabin for Driver Comfort,” Research Square, pp. 1-23, 2025.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  15. A.B. Rathod, and R.T. Vyavhare, “Optimization of Truck Driver Cab Ergonomic for Commercial Truck Based on Ramsis: Enhancing Driver Comfort and Safety,” International Journal of Intelligent Transportation Systems Research, vol. 22, no. 3, pp. 603-613, 2024.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  16. Marco Freddi, Curzio Pagliari, and Leonardo Frizziero, “Optimizing Driver Position Using ANOVA and ANNs,” IEEE Access, vol. 13, pp. 166436-166443, 2025.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  17. Matthew B. Parkinson et al., “Optimizing Truck Cab Layout for Driver Accommodation,” Journal of Mechanical Design, vol. 129, no. 11, pp. 1110-1117, 2007.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  18. Junfeng Peng, Xuguang Wang, and Lisa Denninger, “Effects of Anthropometric Variables and Seat Height on Automobile Drivers’ Preferred Posture with the Presence of the Clutch,” Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 60, no. 2, pp. 172-190, 2018.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  19. Junfeng Peng, Xuguang Wang, and Lisa Denninger, “Ranges of the Least Uncomfortable Joint Angles for Assessing Automotive Driving Posture,” Applied Ergonomics, vol. 61, pp. 12-21, 2017.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  20. Baba Md Deros et al., “Incorporating Malaysian’s Population Anthropometry Data in the Design of an Ergonomic Driver’s Seat,” Procedia - Social and Behavioral Sciences, vol. 195, pp. 2753-2760, 2015.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  21. Esteban Ortiz et al., “Evaluation of Technical and Anthropometric Factors in Postures and Muscle Activation of Heavy-Truck Vehicle Drivers: Implications for the Design of Ergonomic Cabins,” Applied Sciences, vol. 15, no. 14, pp. 1-16, 2025.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  22. J. Mark Porter, and Diane E. Gyi, “Exploring the Optimum Posture for Driver Comfort,” International Journal of Vehicle Design, vol. 19, no. 3, pp. 255-266, 1998.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  23. Julian Happian-Smith, “An Introduction to Modern Vehicle Design,” Butterworth-Heinemann, 2002.
    [
    Google Scholar] [Publisher Link]
  24. H. Onan Demirel, Salman Ahmed, and Vincent G. Duffy, “Digital Human Modeling: A Review and Reappraisal of Origins, Present, and Expected Future Methods for Representing Humans Computationally,” International Journal of Human-Computer Interaction, vol. 32, no. 10, pp. 897-937, 2022.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  25. Don B. Chaffin, “Digital Human Modeling for Workspace Design,” Reviews of Human Factors and Ergonomics, vol. 4, no. 1, pp. 41-74, 2008.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  26. Kihyo Jung, Ochae Kwon, and Heecheon You, “Development of a Digital Human Model Generation Method for Ergonomic Design in Virtual Environment,” International Journal of Industrial Ergonomics, vol. 39, no. 5, pp. 744-748, 2009.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  27. Qiqi He et al., “From Digital Human Modeling to Human Digital Twin: Framework and Perspectives in Human Factors,” Chinese Journal of Mechanical Engineering, vol. 37, no. 1, pp. 1-14, 2024.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  28. Sunghee Lee, Eftychios Sifakis, and Demetri Terzopoulos, “Comprehensive Biomechanical Modeling and Simulation of the Upper Body,” ACM Transactions on Graphics, vol. 28, no. 4, pp. 1-17, 2009.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  29. Ali Hamadi Dicko, “Construction of Musculoskeletal Systems for Anatomical Simulation,” Doctoral thesis, University of Grenoble, 2014.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  30. Matthew Loper et al., “SMPL: A Skinned Multi-Person Linear Model,” Seminal Graphics Papers: Pushing the Boundaries, vol. 2, pp. 851-866, 34, no. 6, pp. 1-16, 2023.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  31. Patrick Lerge et al., “Definition of the Neutral Body Posture through Three-Dimensional Local Cardan Joint Angles,” Acta Astronautica, vol. 244, pp. 323-334, 2026.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  32. Zhongguo Li, Magnus Oskarsson, and Anders Heyden, “3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-view Model-fitting,” 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, pp. 1887-1896, 2021.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  33. Gyungin Jung, Minjoo Kang, and Sungmin Kim, “Development and Evaluation of Accurate 3D Human Models using Scan Data: A Comparison with SMPL and CLO Models,” Fashion and Textiles, vol. 12, pp. 1-17, 2025.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  34. Yidong Wu, “3D Human Body Model Reconstruction Algorithm Based on Multi-View Synchronized Video Sequences,” Proceedings of the 2nd International Conference on Data Analysis and Machine Learning (DAML), Kuala Lumpur, Malaysia, vol. 1, pp. 214-220, 2024.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  35. David Bojanić et al., “Pose-Independent 3D Anthropometry from Sparse Data,” European Conference on Computer Vision, pp. 237-256, 2024.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  36. Shuhang Chen et al., “A Focused Human Body Model for Accurate Anthropometric Measurements Extraction,” 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, pp. 22658, 22667, 2025.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  37. Katja Ludwig et al., “Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes,” 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Nashville, TN, USA, pp. 5862-5871, 2025.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  38. Ke Ke Sun et al., “A 2D-3D Non-Contact Anthropometric Method for Daily Dressing State-Takes Young Asian Women as Example,” Journal of Measurements in Engineering, vol. 5, no. 3, pp. 161-175, 2017.
    [
    CrossRef] [Google Scholar] [Publisher Link]
  39. A. Ballester et al., “3D Human Models from 1D, 2D & 3D Inputs: Reliability and Compatibility of Body Measurements,” Proceedings of the 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, pp. 132-141, 2018.
    [
    CrossRef] [Google Scholar] [Publisher Link]