摘要
利用GPS采集的哈尔滨私人乘用车实际道路出行数据,构建哈尔滨市区私人乘用车的出行特征,包括出行里程分布、出行频次分布及出行时间分布,并运用主成分分析及聚类分析得到行驶工况的特征值。构建结果表明:哈尔滨城区私人乘用车日均出行里程为27.36 km,日均出行频次为2.51次,日均出行时间为110.43分钟。通过与部分单体样本的行驶工况特征参数对比可知,所构建的行驶工况很好地反映哈尔滨市乘用车的出行特征,研究成果对于新能源汽车的性能匹配和市场推广有着重要的意义。
GPS was used to collect driving date of private passenger vehicles in actual operation in Harbin. Travel characteristics of private passenger vehicles in Harbin downtown were built, including travel mileage distribution, travel frequency distribution and travel time distribution. Characteristic values of driving cycle were obtained by principal component analysis and cluster analysis. The results show that Harbin private passenger vehicles' daily average travel mileage is 27.36 kin, daily average travel frequency is 2. 51 times, daily average travel time is 110. 43 minutes. The driving cycle built can well reflect the operation characteristics of passenger vehicles in Harbin, through the comparison analysis on characteristic parameters between independent samples and the whole driving cycle. Finally, the research results have an important significance for market promotion of the new energy vehicles.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2017年第4期81-86,共6页
Journal of Harbin University of Science and Technology
基金
黑龙江省教育厅科学技术研究项目(12541137)
关键词
乘用车
出行特征
行驶工况
主成分分析
聚类分析
passenger vehicles
travel characteristics
driving cycle
principal component analysis
cluster a-nalysis