Abstract
Cab ergonomics has an important impact on road safety and driver health, especially for heavy trucks, which is the main tool for long distance road transportation and usually result in more serious consequences than other types of vehicle if an accident occurs. However, for a long time, due to the poor design of the heavy truck cab, the situation of causing road risk and driver health problems have not been significantly improved. The understanding of the current ergonomic situation of the heavy truck cab will stimulate the design improvement. This paper investigated and analyzed the ergonomic problems and using experience of heavy truck cab installations, as well as the characteristics of professional driver groups and driving habits. The interviews and questionnaire survey on heavy truck drivers were used. The data was analyzed through statistical methods such as significance tests. It was found that the current truck cab components, including seat belts, seats, steering wheels, accelerators, brakes and clutch pedals, and shift levers, had varying degrees of ergonomic weakness. The research results provide reference for understanding the characteristics of heavy truck users, driving habits, user needs and existing design deficiencies, and improving of heavy truck cabs ergonomic design.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mayhew, D.R., Simpson, H.M., Beirness, D.J.: Report: heavy trucks and road crashes. Traffic Injury Research Foundation, Ottawa, Ontario, Canada (2004)
Du, J., Lu, H., Sun, W., Zhang, X., Hu, H., Liu, Y.: Investigation on driving habits of Chinese truck driver. In: Stephanidis, C. (ed.) HCI 2017. CCIS, vol. 713, pp. 526–531. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58750-9_73
GB10000-88: Chinese Adults Human Body Dimensions. State Bureau of Technical Supervision (1988)
Liu, G., et al.: Risk factors for extremely serious road accidents: results from national road accident statistical annual report of China. PLoS One 13(8) (2018)
Massaccesi, M., Pagnotta, A., Soccetti, A., Masali, M., Masiero, C., Greco, F.: Investigation of work-related disorders in truck drivers using RULA method. Appl. Ergon. 34(4), 303–307 (2003)
Okunribido, O.O., Magnusson, M., Pope, M.: Delivery drivers and low-back pain: a study of the exposures to posture demands, manual materials handling and whole-body vibration. Int. J. Ind. Ergon. 36(3), 265–273 (2006)
Okunribido, O.O.: An investigation of posture and manual materials handling as risk factors for low back pain in delivery drivers. Ergon. Soc. S. Afr. 28(2), 19–27 (2016)
Robb, M.J.M., Mansfield, N.J.: Self-reported musculoskeletal problems amongst occupational truck drivers. Ergonomics 50(6), 814–827 (2007)
Acknowledgement
This research was supported by National Natural Science Foundation of China (project number 71601007) and President Foundation of China National Institute of Standardization (project number 522018Y-5984).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Du, J., Sun, W., Gu, H., Zhang, X., Hu, H., Liu, Y. (2020). Investigation on Heavy Truck Cab Ergonomics. In: Duffy, V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science(), vol 12198. Springer, Cham. https://doi.org/10.1007/978-3-030-49904-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-49904-4_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-49903-7
Online ISBN: 978-3-030-49904-4
eBook Packages: Computer ScienceComputer Science (R0)