摘要
以城市公交车为研究对象,运用覆盖率、路段频度等方法,选取城市典型的公交运行线路,并进行大量的实验和实际运行数据的采集。利用主成分析和聚类分析构建行驶工况,研究表明,将众多反映道路交通特征的运动学片段特征值用主成分析法压缩成代表原始数据80%以上信息的3个或4个公因子的方法是可行的,接着用聚类分析提炼这些运动学片段。根据统计分析的概率随机选择并重组实际运动学片段,并以典型公交线路为研究对象进行分析,得出一个基于实际公交车速度的行驶工况,构建能反映典型公交线路交通状况的工况。
Research is made on the city bus,With the introduction of the concept of the coverage rate and frequency of section in traffic method,the typical public traffic routes are selected.Investigations are carried out on bus lines and actual operation data are collected.The paper used principal composition analysis and clustering theory to construct a driving cycle.Research shows that it is a feasible method to using principal composition analysis to compress kinematic sequence characteristics which can reflect the characteristics of road traffic,and the kinematic sequence characteristics can be compressed into three or four common factors which represent for over 80% of the raw data.Then clustering theory are used to extracte these kinematic sequences.By randomly selecting and combining these sequences according to statistical probability,the typical public routes are taken as the subject of study,and the driving cycle based on actual bus speed is analysised and concluded.The driving cycle can also reflect typical public routes.
出处
《交通科技与经济》
2011年第3期108-112,共5页
Technology & Economy in Areas of Communications
基金
国家自然科学基金资助项目(70771036)
安徽省自然科学基金资助项目(070416244)
关键词
公交车
行驶工况
主成分分析
运动学片段
city bus
driving cycle
principal component analysis
microtrips