Gain decisive insights in automotive ergonomics and comfort
Let musculoskeletal modeling and simulation software help you design automobiles that are ergonomically ideal for all occupants. Our products and services provide unprecedented insights into human-vehicle interaction that help you innovate quickly and cost effectively. Use the AnyBody Modeling system in your human factors research and bring user requirements into your automotive ergonomics design and development process. See below for examples on musculoskeletal modeling applications in automotive ergonomics and comfort measures.
Automotive applications
- Optimized occupant package design
- Ingress & egress analysis
- Seating comfort – H-point, lumbar support etc.
- Driver-vehicle interaction – ergonomics, forces, fatigue
- Ergonomic design for population anthropometry
- Assembly line ergonomics
- Factory exoskeletons
- Pre-collision occupant response
- Numerical measures of human comfort, performance
and more…
“Biomechanical simulations with the AnyBody Modeling System™ made it possible to quantify and determine key design parameters of the Active Motion™ technology very early in the design phase. The key parameters could only have been found through simulations”
Dr. Karl Siebertz, Technical Specialist, Biomechanics Vehicle Interior Technologies Ford Research & Advanced Engineering Europe
Recent automotive research
- Li M, Li B, Chen G, Huading B, Shi C, Yu F, (2024), “Biomechanics-based study of muscle activation under different driving conditions for Chinese percentiles”. Human Factors and Ergonomics in Manufacturing & Service Industries, vol. n/a, [ DOI ]
- Zhang W, Yang H, Li Y, Zhao Y, Xu H, (2023), “An optimization model of tractor clutch pedal design parameters based on lower limb biomechanical characteristics”. Int. J. Ind. Ergon., vol. 98, pp. 103519. [ DOI, WWW ]
- Zhang W, Wang Q, Xu Z, Shang Y, Xu H, (2022), “Development of a tractor operator-operation environment coupled biomechanical model and analysis of lower limb muscle fatigue”. Int. J. Ind. Ergon., vol. 93, pp. 103407. [ DOI, WWW ]
- Yang Y, Qi J, Liu J, Wang Y, Xu L, Zhang Y, Cheng L, (2022), “Effect of seat tilting on biomechanics of L4 in tractor drivers”. Comput. Methods Biomech. Biomed. Engin., pp. 1-12. [ DOI ]
- Wang Q, Huo Y, Xu Z, Zhang W, Shang Y, Xu H, (2022), “Effects of backrest and seat-pan inclination of tractor seat on biomechanical characteristics of lumbar, abdomen, leg and spine”. Comput. Methods Biomech. Biomed. Engin., pp. 1-14. [ DOI, WWW ]
- Zhenkai Z, Leiming G, Benjamin S, James C, Neil JM, (2022), “Simulation of abdominal belt effects on IAP and spinal compressive force with musculoskeletal human model”. 7th International Digital Human Modeling Symposium (DHM 2022), vol. 22, [ DOI, WWW ]
- Franţ GM, Bărbuceanu RC, Argeşanu V, Petraşcu IM, Borozan IS, (2021), “Contributions to increase the safety of road vehicles by optimizing passive systems using AnyBody software”. 2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY), pp. 153-158. [ DOI ]
- Wolf P, Rausch J, Hennes N, Potthast W, (2021), “The effects of joint angle variability and different driving load scenarios on maximum muscle activity – A driving posture simulation study”. Int. J. Ind. Ergon., vol. 84, pp. 103161. [ DOI, WWW ]
- Bahramian M, Shayestehpour MA, Yavari M, (2021), “Musculoskeletal injury risk assessment in a car dashboard assembly line using various quantitative and qualitative tools”. [ WWW ]
- Gao F, Zong S, Han ZW, Xiao Y, Gao ZH, (2020), “Musculoskeletal computational analysis on muscle mechanical characteristics of drivers’ lumbar vertebras and legs in different sitting postures”. Rev. Assoc. Med. Bras., vol. 66, pp. 637-642. [ DOI, WWW ]
- Upmann A, (2016), “Application of digital human modeling for the ergonomic evaluation of handbrakes in passenger vehicles”. [ WWW ]