APP-based Car-hailing Distance Counting Method Based on Loosely Coupled Model and Kalman Filter Algorithm

Zan HAN , Wu-wei LI , Hong-zhang WU , Yu-hong LI , Kai WANG , Ling-jian ZHU

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (12) : 4995 -5002.

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Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (12) : 4995-5002 DOI: 10.12404/j.issn.1671-1815.2403988
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APP-based Car-hailing Distance Counting Method Based on Loosely Coupled Model and Kalman Filter Algorithm
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Abstract

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.

Keywords

APP-based car-hailing / global navigation satellite system(GNSS) positioning / inertial navigation system / coordinate transformation / loose-coupled model

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Zan HAN, Wu-wei LI, Hong-zhang WU, Yu-hong LI, Kai WANG, Ling-jian ZHU. APP-based Car-hailing Distance Counting Method Based on Loosely Coupled Model and Kalman Filter Algorithm. Science Technology and Engineering, 2025, 25(12): 4995-5002 DOI:10.12404/j.issn.1671-1815.2403988

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