福州市区汽车行驶工况构建的研究

Research on Construction of Vehicle Driving Conditions in Fuzhou City

为客观反映我国道路交通状况的测试工况,本文基于福州市汽车行驶数据研究了福州市区汽车行驶工况的构建.利用GPS设备对福州市城区运行的汽车工况数据进行了采集;将采集到的车速数据应用运动学片段法划分为多个短行程片段.为更加精确地处理数据,把短行程片段细分为Low,Mid,High三类.通过对这三类数据使用BP神经网络反复训练、验证并测试,构建出完整的福州市汽车行驶工况曲线.

In order to construct a test condition that objectively reflects the road traffic conditions in China,the construction of vehicle driving conditions in Fuzhou City was studied based on the vehicle driving data there.The vehicle driving cycle data of Fuzhou City was collected by GPS equipment and the collected vehicle speed data were divided into several short journey segments by the kinematic segment method.The short distance segments were subdivided into three categories:low,mid and high.By using the BP neural network which was used to train,verify and test the three kinds of data repeatedly,a complete driving cycle curve of Fuzhou City,was constructed.