【摘要】 针对昆明市161路混合动力公交客车实际行车数据,使用K-Means聚类分析法对运动学片段进行了分类,并构建了161路的行驶工况.研究表明:K-Means聚类分析法获得的两类运动学片段特征明显,分别反映了较为通畅和十分拥堵的交通状况;构建的行驶工况可以代表161路的实际行驶工况,具有怠速时间长、平均车速低、加减速所占比例高和车辆启停频繁的特点.更多还原

【Abstract】 Aiming at the practical driving data of 161 hybrid city bus in Kunming,the kinematic sequences are classified and its driving cycle is built by k-Means cluster methodology. It is shown clearly through the study that the characteristics of two groups of kinematic sequences obtained by classification are very distinctively,and the traffic conditions of congested road and unobstructed road are reflected by these two groups respectively. With its several characteristics,such as long idling time,low average speed,high proportion of acceleration and deceleration,and frequently start-stop,the driving cycle built by k-Means cluster methodology is able to represent the actual driving cycle of the bus.更多还原