稀疏轨迹数据的车辆行驶工况特征分析

Characteristic Analysis of Vehicle Driving Cycles Based on Sparse Trajectory Data

车辆行驶工况是影响机动车污染物排放特征的关键因素,探究不同道路设施不同速度下表征车辆行驶工况的比功率分布特征。首先,利用稀疏轨迹数据,重建车辆行驶轨迹,分析不同道路设施的车辆比功率分布特征;其次,剖析车辆怠速比例随交通状况变化的趋势,基于K均值聚类分析方法,探究不同道路设施不同交通状态下的车辆典型行驶工况特征。研究表明,以出租车为代表的轻型车在城市地面道路和快速路的行驶工况呈现显著差异性,地面道路行驶工况聚类平均速度显著低于快速路平均速度,且与道路交通服务水平速度判别指标存在不同。研究成果有助于拓展车辆行驶工况的视角,促进机动车节能减排的发展。

Vehicle driving cycle is the key factor affecting the vehicle emission characteristics.The characteristics of vehicle operation mode distributions are explored to represent vehicle driving cycles with consideration of the impacts of different road types and traffic speeds.Firstly,vehicle trajectories are reconstructed using the sparse trajectory data,and the operation mode distribution characteristics of different road types are analyzed.Secondly,the trends of the ratio of vehicle idle mode are analyzed with the changes of traffic states.Characteristics of typical vehicle driving cycles under different traffic states and road types are analyzed based on the method of K-means clustering analysis.For the light-duty vehicles represented by taxis,result reveals that there are significant differences of vehicle driving cycles for the surface roads and freeways using the sparse taxi data.The average speeds of surface roads with clustering analysis of vehicle driving cycles are significantly lower than the average speeds of freeways,and show different compared with the speed of different road level of services.The findings of this research are helpful to expand the research perspective of vehicle driving cycles and promote the development of vehicle energy conservation and emission reduction.