Online car-hailing data acquisition system for offline state

Abstract

The invention belongs to the technical field of online car-hailing, and particularly relates to an online car-hailing data acquisition system for the offline state, which comprises a state recording unit, a track simulation unit, a detection unit, a timing unit and a coordinate recording unit; the state recording unit is used for recording the wheel rotating speed and driving direction of a vehicle; the timing unit is used for recording a signal loss moment and a signal recovery moment; the coordinate recording unit is used for recording coordinates when the signal is lost and coordinates when the signal is recovered; the track simulation unit is used for extracting the wheel rotating speed and the driving direction between the signal loss moment and the signal recovery moment, and performing driving track simulation by combining the pre-stored wheel perimeter to obtain a simulation track; the detection unit is used for analyzing whether the simulation track is accurate or not and judging whether the end point of the simulation track coincides with the coordinate of the signal recovery moment or not by taking the coordinate of the signal loss moment as the starting point of the simulation track. The system can accurately record the mileage of the vehicle in an area with insufficient navigation signal intensity.

Description

technical field [0001] The invention belongs to the technical field of online car-hailing, and in particular relates to a data collection system for online car-hailing in an offline state. Background technique [0002] Due to its convenience, quickness and affordable price, online car-hailing has become one of the main means of transportation for many people. For online car-hailing drivers, in order to protect their own interests, in addition to the number of orders received, accurate mileage records when pulling passengers are also important, because the accuracy of mileage records will directly affect the accuracy of billing. [0003] At present, when the car terminal of the online car-hailing terminal records the mileage, it basically calculates the mileage traveled by the vehicle based on the eagle eye data of the three-party map or the GPS track points. These recording methods can quickly and accurately record the mileage of the vehicle. However, there is a major premi...

AI Technical Summary

Problems solved by technology

These recording methods can quickly and accurately record the mileage of the vehicle. However, there is a major premise for these methods to be able to function continuously and stably, that is, the strength of the navigation signal at the vehicle terminal has always been maintained in an ideal state.

Because, when the network condition is not good, there will be a time period when the positioning signal is lost, and these methods calculate the distance during the time period when the positioning signal is lost. The linear distance of the positioning is used as the mileage data during the period when the positioning signal is lost

[0004] However, the driving distance of online car-hailing vehicles during the time period when the positioning is lost is often not a straight line, which leads to the inconsistency between the compensated distance and the actual driving distance, and basically the compensated distance is short, which will lead to network The interests of car-hailing drivers are damaged