摘要
随着经济与社会的发展,乌鲁木齐机动车数量逐年增长,由此带来的交通拥堵、能源消耗、空气污染问题日益突出。为提高乌鲁木齐交通规划合理性,更好地解决交通拥堵问题,同时为尾气排放及油耗问题提供研究依据,针对传统车辆标准循环工况构建方法中存在的问题,提出一种基于投影寻踪优化与模糊聚类算法的车辆行驶工况构建方法。通过车载GPS测量装置实际测量获取乌鲁木齐市10辆涵盖各类型各用途的轻型车在12个月内的实际行驶数据样本。基于运动学片段分析理论,对实测数据样本进行采用数理统计方法进行分析,建立合理的特征参数。利用协同粒子群优化的投影寻踪算法对片段特征参数进行约简并进行模糊聚类分析,根据各类别时间比例选取类内代表性片段,建立出乌鲁木齐市轻型车行驶工况。最后将工况构建结果与实际测量数据及其他工况构建方法所得结果相对比,验证了提出方法的准确性。研究结果表明:构建的轻型车行驶工况速度-加速度概率分布与实测数据吻合性较高,其误差控制在4%以内,整体特征参数误差平均在4.5%左右。对结果的综合评估验证了提出的工况构建方法具有准确性,与目前常用的工况构建方法相比,基于本方法构建的工况精度更高,更能综合反映城市交通真实状况。
With the development of economy and society,the number of the motor vehicles in Urumqi has increased year by year,resulting in traffic congestion,energy consumption and air pollution problems.To improve the rationality of traffic planning in Urumqi and solve the problem of traffic jam better,and to provides a research basis for exhaust emissions and fuel consumption,aiming at the limitation and imperfection in the traditional method of standard driving cycle construction,a vehicle driving cycle construction methodology based on optimized projection pursuit and fuzzy clustering algorithm is proposed.A large sample of 12 months’driving condition data of 10 light vehicles covering all types of uses in Urumqi is obtained by actual measurement with vehicle-borne GPS measuring devices.Based on kinematics fragment analysis theory,the measured data sample is analyzed by mathematical statistics method,and reasonable characteristic parameters are established.The segmental characteristic parameters are reduced and the fuzzy clustering is analysed by using the cooperation particle swarm optimized projection pursuit algorithm.The representative segments are chosen from each category according to the duration percentage,and the driving cycle of urban light vehicles in Urumqi is established.Finally,the driving cycle construction result is compared with the actual measurement data and the results of other driving cycle construction methods,and the accuracy of the proposed method is verified.The study result shows that the driving cycle has a high similarity with the measured data in the aspect of speed-acceleration probability distribution,the difference is under 4%,and the average error of characteristic parameters is in 4.5%.The comprehensive evaluation of the result verified the accuracy of the proposed driving cycle construction method.Compared with the conventional driving cycle construction method,the driving cycle constructed by the proposed method has higher accuracy and can reflect the real urban traffic more comprehe
作者
吴微
张宏立
WU Wei;ZHANG Hong-li(School of Electrical Engineering,Xinjiang University,Urumqi Xinjiang 830047,China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2019年第11期119-128,共10页
Journal of Highway and Transportation Research and Development
基金
中国新能源汽车产品检测工况研究和开发——乌鲁木齐市城市数据采集(62316)
