Abstract
This study utilizes ergonomics principles and RAMSIS software to optimize the analysis of driver posture in the sweeper cabin and constructs 18 different Chinese human body models of varying genders and sizes. Firstly, parameters such as H30 and H-point X-axis travel (L95) are determined based on vehicle type, platform, and benchmark vehicle data. Seat back angle, ankle comfort angle, and seat slide rail inclination are also set. Subsequently, RAMSIS software is employed to create a 3D model for simulating driver posture, and the cabin layout is optimized based on human comfort evaluation results. Next, spatial and reachability analyses are conducted to ensure that components such as the steering wheel and operating handles are within reach. Finally, evaluators are organized to conduct subjective evaluations of the driving cabin to verify the effectiveness of the optimization scheme. Through simulation analysis and subjective evaluation, the final optimization scheme is determined to be “steering wheel position moved back by 30 mm and raised by 10 mm” and “seat slide rail moved forward by 25 mm.” This scheme improves the comfort of drivers with different heights and sitting heights during driving, thus meeting the driving requirements of the vast majority of people. This study provides valuable references for the ergonomics design of sweeper cabins and demonstrates the accuracy of RAMSIS simulation results.
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Li, S., Zhang, Z., Han, W. (2023). Optimization of Driver Cabin Human Factors Design for Sweeper Truck Based on Ramsis: Enhancing Driver Comfort and Safety. In: Duffy, V.G., Krömker, H., A. Streitz, N., Konomi, S. (eds) HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14057. Springer, Cham. https://doi.org/10.1007/978-3-031-48047-8_6
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