原文传递 Vehicle Dynamics Model for Predicting Maximum Truck Acceleration Levels.
题名: Vehicle Dynamics Model for Predicting Maximum Truck Acceleration Levels.
作者: rakha, h. lucic, i. demarchi, s. h. setti, j. r. van aerde, m.
关键词: aerodynamics, traffic modeling, calibration, validation, recommendations
摘要: The paper presents a number of vehicle dynamics models for estimating maximum vehicle acceleration levels based on a vehicle's tractive effort and aerodynamic, rolling, and grade resistance forces. In addition, typical model input parameters for different vehicle, pavement, and tire characteristics are presented. The model parameters are calibrated/validated against field data that were collected along the Smart Road test facility at Virginia Tech utilizing a truck and trailer for 10 weight-to-power configurations, ranging from 85 kg/kW to 169 kg/kW(140 lb/hp to 280 lb/hp). The model was found to predict vehicle speeds at the conclusion of the travel along the section to within 5 km/h (3.1 mi/h) of field measurements, thus demonstrating the validity and applicability of the model. / NOTE:Final rept.
总页数: u0704;76p
报告类型: 科技报告
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