[1]蔺宏良,余强.基于模糊聚类的西安市区轿车行驶工况构建[J].郑州大学学报(工学版),2015,36(04):96-99.[doi:10.3969/ j. issn.1671-6833.2015.04.022]
　LIN Hong-liang,YU Qiang.Construction of Sedan’s Driving Cycle in Xi’an City Based on Fuzzy Clustering[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):96-99.[doi:10.3969/ j. issn.1671-6833.2015.04.022]
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基于模糊聚类的西安市区轿车行驶工况构建()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
36
期数:
2015年04期
页码:
96-99
栏目:
出版日期:
2015-08-31

文章信息/Info

Title:
Construction of Sedan’s Driving Cycle in Xi’an City Based on Fuzzy Clustering
作者:
蔺宏良; 余强
1.陕西交通职业技术学院汽车工程系,陕西西安710018;2.长安大学汽车学院,陕西西安710064
Author(s):
LIN Hong-liang1; 2; YU Qiang1
1. Department of Automotive Engineering, Shaanxi College of Communication Technology , Xi’ an 710018，China; 2.School ofAutomobile，Chang’an University ，Xi ’ an 710064 ,China
关键词:
城市交通; 汽车工程; 行驶工况; 模糊聚类; 交通流状况; 道路实验; 数据解析
Keywords:
urban transport;  automotive engineering;  driving cycle; fuzzy clustering;  traffic flow;  road exper-iment;  data analysis
分类号:
U463.6
DOI:
10.3969/ j. issn.1671-6833.2015.04.022
文献标志码:
A
摘要:
在行驶工况构建过程中,实验数据的解析与处理方法直接影响构建的代表性行驶工况的精度.由于城市道路交通结构复杂,车辆运行方式特殊,因此,引入模糊聚类方法对西安市区道路车辆运动状态数据进行处理,以建立能够反映交通流状况且与车辆行驶状态紧密相关的行驶工况.通过对平均速度和行驶速度标准偏差模糊聚类,将西安市区道路轿车行驶状态分为拥堵状态,稳定流动状态和畅通状态3类,在此基础上采用分类法和短行程法相结合构建了西安市区轿车代表性行驶工况.验证发现:利用模糊聚类方法构建的西安工况与实验数据相对误差较小,能够反映西安市区轿车真实的运行状态.
Abstract:
In the process of driving cycle construction,experimental data ’s analysis and processing will di-rectly affect the accuracy of driving cycle. Due to the complexity of urban road traffic structure and vehicle ’sspecial operating mode,fuzzy clustering method is introduced to analyze vehicle ’s typical motion data of Xi’an urban road traffic in order to establish driving cycle which is closely related to vehicle’s running state androad traffic flow. After average speed and speed standard deviation fuzzy clustering,following results arefound,sedan’s driving states on Xi’an urban road are divided into congestion running state ,steady flow run-ning state and free flow running state three categories. Furthermore,combining classification method withshort-stroke method,sedan ’s representative driving cycle in Xi ’ an city is built and verified. The resultshowed; the relative error between Xi’an representative driving cycle constructed by furzy clustering methodand experimental data is small,which would reflect the vehicle’s actual running state.

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