基于SVM的中小学校门口交通安全评价

根据兰州市安宁区8所中小学校门口调查数据，建立基于支持向量机的中小学校门口交通安全评价模型，利用MATLAB编程，计算8所中小学相对安全情况。结果表明：在数据样本较小的情况下，应用SVM 模型可以较好评价中小学校门口安全等级；在数据充足、影响因素指标赋值规范的情况下，评价效果进一步提高。可以为中小学校门口道路及其附属设施建设提供参考，有效地减少城市儿童道路交通伤害。

Primary and Secondary School Traffic Safety Evaluation Based on SVM

According to eight middle schools and primary schools ’ survey data of Anning district of Lanzhou city ,built primary and middle school school of traffic safety evaluation model based on support vector machine (SVM) ,using MATLAB to solve ,it is concluded that eight middle schools and primary schools is relatively safe .The results show that in the case of small data samples ,using SVM model can better evaluate primary and secondary school safety level .Under the circumstances of sufficient data ,factors influencing index assignment more formal , the evaluation effect will increase further , can provide a reference for primary and secondary school road and its affiliated facilities construction , it effectively reduce the urban road traffic injuries in children .