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An experimental comparison of mathematical heavy-duty city bus models to evaluate passenger ride comfort induced by road roughness
Mathematical and Computer Modelling of Dynamical Systems ( IF 1.9 ) Pub Date : 2021-03-25 , DOI: 10.1080/13873954.2021.1887276
Teron Nguyen 1, 2 , Patrick Swolana 3 , Bernhard Lechner 4 , Wong Y.D. 5, 6
Affiliation  

ABSTRACT

Mathematical models have been used widely to investigate the vehicle-passenger-infrastructure dynamical interaction; however, the responses of various heavy-duty city bus models to estimate ride comfort induced by road roughness are still unknown. In this study, the comparison of dynamical response of buses used in city transport is investigated based on multi-degrees-of-freedom (DOF) bus models developed in MATLAB/Simulink and correlated against passenger ride comfort criteria. The results showed that 9-DOF full bus model is the best option to estimate passenger ride comfort within an error of 2%, as compared to 5-DOF half and 3-DOF quarter bus models with 7% and 20% errors using one wheel-track, and 24% and 36% errors using two wheel-tracks, respectively. The error was calculated as the difference between simulated results from three bus models and the measured data. These mathematical bus models can be customized for estimating passenger ride comfort and surface roughness of dedicated bus/bus-rapid-transit lanes.



中文翻译:

重型城市公交车数学模型的实验比较,以评估道路不平整引起的乘客乘坐舒适性

摘要

数学模型已被广泛用于研究车辆-乘客-基础设施的动力相互作用。但是,各种重型城市客车模型用于估计由路面不平整引起的乘坐舒适性的响应仍然未知。在这项研究中,基于MATLAB / Simulink中开发的多自由度(DOF)公交车模型,研究了城市交通公交车动力响应的比较,并与乘客乘坐舒适性标准相关联。结果表明,与使用一个车轮的7%和20%错误的5自由度半和3自由度四分之一公共汽车模型相比,9自由度全公共汽车模型是在2%的误差范围内估计乘客乘坐舒适性的最佳选择。跟踪,分别使用两个轮迹的误差分别为24%和36%。计算得出的误差是三种总线模型的仿真结果与测量数据之间的差异。可以定制这些数学公交车模型,以估计乘客乘坐舒适性和专用公交车/快速公交车道的表面粗糙度。

更新日期:2021-03-25
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