Car-following model based on correlation analysis and safe headway
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摘要: 为精确模拟动力性能各异的车辆之间的跟驰行为, 分析了跟驰实验数据和车辆动力性能, 采用回归分析法筛选变量, 建立新的跟驰模型。根据车辆动力性能与车距修正模型, 使模型模拟结果更符合车辆的动力性能, 并具有广泛的适用性。模型模拟加速度、速度和位置与实测值之间的相对误差分别为6.0%、0.1%和1.0%, 相关系数分别为0.863、0.998和1.000。由此表明模型可精确模拟车辆性能各异与车速和车间距离散性较大的跟驰车队。Abstract: In order to accurately simulate car-following vehicles with different various dynamic performances, car-following experimental data and vehicles dynamic performances were analyzed, some variables were selected by regression analysis method, a new car-following model was established. The model was improved according to vehicles dynamic performances, so that car-following simulation result was compatible with vehicles dynamic performances; the model was revised according to the distances between vehicles, so that the model had applicability. Relative errors between the simulation values and experimental data of acceleration, velocity and position are respectively 6.0%, 0.1% and 1.0%, their correlation coefficients are respectively 0.863, 0.998 and 1.000. The result shows that the model accurately simulate motorcade behavior composed of vehicles with different dynamic performances, when the velocity discretenesses and gap discretenesses of vehicles are remarkable.
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