中文摘要：

随着我国汽车工业的飞速发展,汽车消费迅速膨胀,汽车市场竞争日益加剧。合理选择汽车销售及售后区域对汽车厂家有着十分重要的影响,对重卡车辆生产厂家的影响更加明显。采用车载GPS技术和改进的DBSCAN算法将陕重汽的不同类型车辆的行驶GPS数据进行空间聚类分析,最终得到不同车辆的活动热点地区分布数据;分析得到的数据对今后车辆的设计、销售及售后的相关决策问题有着重要的参考价值。

英文摘要：

With the rapid development of auto industry in China,automobile consumption expands rapidly,and the competition of automobile market is increasing.Choosing the car sales and after-sales area rationally has an important influence on automobile makers,especially on the makers of heavy vehicles.A spatial clustering analysis of the GPS data is done for different types of vehicles by using a vehicle-mounted GPS technology and improved DBSCAN algorithm,and the distributed data of different vehicles are drawn in hot area.The analyzed data have important reference value for vehicle design,sales,and the relevant decision-making issues after-sale in future.