针对网约车行业体量增大，计程结果易受环境影响产生误差的问题，提出一种新型的网约车计程检测方法。分析全球卫星导航系统（global navigation satellite system, GNSS）坐标系与其他坐标系的转换机理，采用松耦合模型和卡尔曼滤波处理进行组合导航，设计一种网约车计程装置。试验结果表明：计程装置在直线路段计程误差为0.42%，圆弧路段计程误差为0.56%，计程精度满足《出租汽车计价器检定规程》（JJG 517—2016）要求的最大误差范围，为解决网约车的计程误差问题提供了新方法。

In order to resolve the problem that the volume of APP-based car-hailing industry increases and the trip counting results are susceptible to errors due to environmental influences, a novel method of APP-based car-hailing trip counting detection was proposed. The conversion mechanism between global navigation satellite system(GNSS) coordinate system and other coordinate systems was analyzed, and a network car counting device was designed by using loose coupling model and Kalman filter processing for combined navigation. The test results show that the distance counting device has a distance counting error of 0.42% in the straight road section and a distance counting error of 0.56% in the circular road section, and the distance counting accuracy meets the maximum error range required by the Verification Regulation of Taximeters(JJG 517—2016), which provides a new method for solving the distance counting error problem of APP-based car-hailing.