惩罚集

为了给路径选择模型提供合理的路径集输入，使路径集能够包含更多驾驶员实际选择的路径，提出了一种基于路段惩罚法的路径集生成算法。

To input a reasonable route choice set containing more routes of drivers'real choices into the route choice model , a route choice set generation algorithm based on link penalty method was proposed .

通过实验手段分析了核参数、惩罚系数及训练集规模对检测性能的影响，并以实际数据反映出对建立检测模型起作用的训练样本仅占整个训练集的很小比例。

The influence of kernel function , publish constant and training set size on detection performance were analyzed through the experiment . And the results indicate that only a small fraction of training samples is helpful in establishing the detection model . 2 .