基于改进的C4.5算法对车辆加速性能分类研究  

Classification of Vehicle Acceleration Performance Based on Improved C4.5 Algorithm

作　　者：陆宝红 陈晨[2] 曹曦文 陈眺 曾洁[3] 史昇 宋雪桦[1] 

机构地区：[1]江苏大学计算机科学与通信工程学院,江苏镇江212000 [2]江苏大学京江学院,江苏镇江212000 [3]大连交通大学电气信息学院,辽宁大连116000 [4]江苏恒驰科技有限公司,江苏镇江212200

出　　处：《软件导刊》2018年第1期184-187,共4页Software Guide

基　　金：江苏省科技支撑计划项目(BE2015132);辽宁省自然科学基金项目(201602116)

摘　　要：车辆加速性能是衡量驾驶员对车辆驾驶舒适性的一个标准。传统的车辆加速性能是通过判断加速踏板开度衡量的,加速踏板出厂时设置为不能自动调整。采用改进的C4.5算法对车辆加速性能分类,实现自动调整加速踏板开度。首先通过泰勒中值定理对C4.5算法进行简化,然后对车联网数据进行特征提取,生成判断加速性能的决策树分类规则,测试特征提取的并行化运行效率。通过特征提取后的数据集验证了改进的C4.5算法效率和准确率。测试结果表明,改进算法在不降低分类准确率的前提下,有效提高了分类效率。Vehicle acceleration performance is a measure of the driver＇s comfort in driving a vehicle and improving driving comfort is a matter of concern. The traditional vehicle acceleration performance is determined by judging the accelerator pedal opening degree, and the accelerator pedal can not be adjusted automatically when the factory is set up. Therefore, the paper adopts the improved C4.5 algorithm to automatically adjust the accelerator pedal opening degree to the vehicle acceleration performance classification. Firstly, the algorithm of C4.5 is simplified by Taylor＇s mean value theorem, and then the feature extraction of car network data is carried out to generate decision tree classification rules to judge the acceleration performance, parallel operation efficiency of test feature extraction, and finally the data extracted by feature Set to verify the efficiency and accuracy of the improved C4.5 algorithm. The test results show that the improved algorithm effectively improves the efficiency of classification and the classification accuracy is not reduced.

关 键 词：车联网 HBASE MAPREDUCE C4.5 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]