重庆工商大学学报（自然科学版）2024，Vol.41Issue(3)：18-25,8.DOI:10.16055/j.issn.1672-058X.2024.0003.003
基于改进K均值和马尔科夫链的公交车行驶工况构建
Construction of Bus Driving Cycle Based on Improved K-means and Markov Chains
摘要
Abstract
Objective The research in this paper aims to fill the gap of the current lack of bus driving cycles in line with the characteristics of the urban terrain in Chongqing.Methods An improved K-mean clustering algorithm combined with a Markov chain was proposed to construct driving cycles.The effective driving data of bus No.805 in urban areas of Chongqing were smoothed using a filtering algorithm,from which 1,721 kinetic segments were extracted.The feature parameter matrices of each kinetic segment were dimensionally reduced using kernel principal component analysis,suitable initial cluster centers were selected with the particle swarm algorithm for K-means,and the kinetic segments were classified and labeled using the improved K-means clustering algorithm.Finally,reasonable kinetic segments were selected through the Markov chain to construct a bus driving cycle in urban areas of Chongqing with a duration of 1,310 seconds.Results The constructed driving cycle was compared with the data collected from real vehicles and some typical cycles at home and abroad.The results showed that the constructed cycle exhibited consistent trends in the joint distribution of speed and acceleration with the original data,and the errors of the characteristic values of the constructed driving cycle compared with the data collected from real vehicles were all less than 7％.The constructed cycle highly matched the characteristics of the original data and can well reflect the high idle time ratio,frequent acceleration and deceleration,and other actual traffic conditions in urban areas of Chongqing.Conclusion The constructed cycle can provide a basic standard for bus route planning,emission testing,and fuel consumption testing in Chongqing,and the research methods involved can serve as a reference for energy management of new energy vehicles,control strategies,as well as city driving cycle construction and optimization of city bus routes.关键词
公交车/行驶工况/核主成分分析/K均值聚类算法/马尔科夫链Key words
bus/driving cycle/kernel principal component analysis/K-means clustering algorithm/Markov chain分类
交通工程引用本文复制引用
陈宝,谢光毅,黄春,付江华..基于改进K均值和马尔科夫链的公交车行驶工况构建[J].重庆工商大学学报（自然科学版）,2024,41(3):18-25,8.基金项目
重庆市教育委员会科学技术研究计划青年项目(KJQN202101143) （KJQN202101143）
重庆理工大学研究生创新项目(GZLCX20222131). （GZLCX20222131）
