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Erschienen in:

04.09.2024

Optimization of Truck Driver Cab Ergonomic for Commercial Truck Based on Ramsis: Enhancing Driver Comfort and Safety

verfasst von: A. B. Rathod, R. T. Vyavhare

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 3/2024

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Abstract

The research uses ergonomic philosophy and RAMSIS tool to improve the assessment of driver position in the commercial truck cab and structures 28 different person figure patterns of changing sexual category and dimensions. Primarily, factors like H30 and H-point X-axis travel (L95) were established based on truck category, program, and benchmark truck statistics. Seat spine angle, seat slide rail inclination and ankle comfort angle were set. Afterwards, RAMSIS tool is exercised to construct a 3D simulation for modelling driver position, and the cab arrangement is improved based on ergonomic assessment findings. Subsequently, an examination of spatial and reachability is carried out to guarantee that essential elements like the steering wheel and operating handles are easily accessible. Then Evaluators are systematically arranged to perform subjective assessments of the driving cab in order to validate the efficacy of the optimization plan. After conducting objective analysis and subjective analysis, the most effective optimization strategy involves shifting the steering wheel position back by 25 mm and up by 8 mm, along with moving the seat slide rail forward by 20 mm. This strategy enhances the convenience of drivers with varying heights and sitting positions while driving, thereby fulfilling the driving needs of most individuals. This research offers significant insights for the ergonomic design of Commercial Truck cab and validates the precision of RAMSIS simulation outcomes.

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Metadaten
Titel
Optimization of Truck Driver Cab Ergonomic for Commercial Truck Based on Ramsis: Enhancing Driver Comfort and Safety
verfasst von
A. B. Rathod
R. T. Vyavhare
Publikationsdatum
04.09.2024
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 3/2024
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-024-00419-y

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