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作 者:于谦 肖雄[1,3] 杨鸣鹏 刘海海 YU Qian;XIAO Xiong;YANG Mingpeng;LIU Haihai(College of Transportation Engineering,Chang′an University,Xi′an,Shaanxi 710064,China;Key Laboratory of Transport Industry of Management,Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area,Xi′an,Shaanxi 710064,China;T.Y.Lin International Engineering Consulting(China)Co.,Ltd.,Chongqing 401120,China)
机构地区:[1]长安大学运输工程学院,陕西西安710064 [2]生态安全屏障区交通网设施管控及循环修复技术交通运输行业重点实验室,陕西西安710064 [3]林同棪国际工程咨询(中国)有限公司,重庆401120
出 处:《江苏大学学报(自然科学版)》2022年第3期270-276,共7页Journal of Jiangsu University:Natural Science Edition
基 金:国家自然科学基金青年科学基金资助项目(52002032);陕西省自然科学基金青年科学基金资助项目(2019JQ-697);国家自然科学基金资助面上项目(51878062);中央高校基本科研业务费资助项目(300102210104);高等学校学科创新引智计划项目(B20035)。
摘 要:为了量化驾驶行为多维度特性及对应路段排放特征,基于车载排放测试系统,采集了实时排放数据及对应微观驾驶行为数据,分析了驾驶行为及轻型汽油车排放之间的关联关系.将驾驶片段划分为生态驾驶和非生态驾驶2种类别,在此基础上分别建立基于逻辑回归、朴素贝叶斯、神经网络、支持向量机和决策树的5种生态驾驶行为辨别模型.研究结果表明:当道路交通趋于饱和状态或者强制状态时,驾驶员驾驶行为及车辆运行状态会发生显著变化,车辆运行状态的改变导致排放因子在饱和流和强制流时有显著增加;除了驾驶操作强度外,驾驶模式转移频度及驾驶状态持续长度都会对污染物排放产生不同程度的影响;基于决策树建立的模型准确率较高,可以达到94.00%.To quantify the multi-dimensional characteristics of driving behavior and corresponding emission characteristics,the portable emission measurement system(PEMS)was used to collect the emissions and microscopic driving behaviors data.The relationship between driving behavior and light-duty gasoline vehicle emission was analyzed.The driving segments were divided into two categories of eco-driving and non-eco-driving,and five eco-driving behavior identification models were established based on logistic regression,Naive Bayes,decision tree,support vector machine and BP neural network,respectively.The results show that when the road traffic tends to be saturated or forced,the driving behavior of drivers and the driving activities change significantly.The change of driving activities leads to the significant increasing of emission factor in saturated flow and forced flow.The driving operation intensity,the driving mode duration and the driving mode transfer frequency have impact on the pollutant emission.The model based on decision tree has high accuracy of 94.00%.
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