Optimization method for uploading information of vehicle driving trajectory

Abstract

The invention discloses an optimization method for uploading information of a vehicle driving trajectory, and relates to the technical field of Internet of Things. The method comprises the following steps that a vehicle measures present position information continuously at a relatively high frequency, and the present position information includes latitude and longitude information; the vehicle uploads the position information measured at present to a network / cloud end in a relatively long default period; every time after uploading by the vehicle, the recorded latitude and longitude informationof the position is recorded, and is compared with the newly measured latitude and longitude information continuously; if the included angle of a deviation therebetween is greater than certain fixed angle, the new position is sent to the network / cloud end immediately; and otherwise, the vehicle reports the position information then till the next default period, and the above steps are repeated. Thus, it can be ensured that the network / cloud end can describe the vehicle driving rule accurately, and position information is uploaded as less as possible.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a method for uploading information on optimized vehicle travel trajectories. Background technique [0002] With the development of the Internet of Things, users (managers) hope to connect all the vehicles under their jurisdiction to the cloud of the Internet of Things, and draw the driving trajectory of the vehicles on the cloud to achieve better management of the use of vehicles. At present, the commonly used method is to periodically report the current position information of the vehicle, and then connect these reported measurement points through line segments on the network terminal / cloud map to draw the trajectory of the vehicle. [0003] In practical applications, the problem with the above solution is that if the location reporting period is short, the rules drawn on the map are more in line with the actual shape / direction of the road, but the amount of commu...

AI Technical Summary

Problems solved by technology

Conversely, if the reporting period is long, the communication capability requirements are low, but the rules drawn on the map are far from the actual road, and there are often broken line segments that cross a certain road or river continuously, and the user experience is not good.

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