城市等级路段汽车燃料消耗聚类分析

Clustering Analysis of Automobile Fuel Consumption in Different Level Road of City

研究城市不同等级路段上汽车的燃料消耗差异,对于实现城市分区域、精准化的"节能减排"控制目标,支撑城市交通系统可持续发展具有重要意义。通过道路实验获取汽车在不同等级城市道路上的运行数据,利用聚类分析提取了影响燃料消耗的主要因子作为回归变量,构建了城市不同等级路段上汽车的瞬时燃料消耗与累计燃料消耗回归模型。研究发现:道路长度、行驶时间和行驶速度作为瞬时燃料消耗模型的回归变量较为合理,平均速度作为累计燃料消耗模型的回归变量较为合理。同时发现,分别以运行距离、运行时间作为回归变量构建的城市快速路、主干路和次干路的瞬时燃料消耗模型具有较高的精度和显著性。而在以平均速度作为回归变量构建的累计燃料消耗模型中,快速路、主干路和次干路分别选取指数模型、乘幂模型和多项式模型能够获得较高精度。

Research on automobile fuel consumption in different level road in city has significant importance for regional and precision goal of energy saving and emission reduction and supporting sustainable development of urban traffic system.The running data of auto in different level road in city is got by road experiment,main factor affecting fuel consumption is taken as regressor variable by clustering analysis to build regression model of instant and accumulative fuel consumption in different level road in city.The study shows that it is reasonable that length of road,travel time and running speed is served as regressor variable of instant fuel consumption and average speed is served as regressor variable of accumulative fuel consumption.In the same time,it found that it has high precision and significance that running length,running time are served as regressor variable to build fuel consumption model in city expressway,arterial road and primary road.While in accumulative fuel consumption model built by average speed,index model,power model and polynomial model are selected in city expressway,arterial road and primary road for higher precision.