Recognition method and recognition system for online car-hailing brushing behaviors

Abstract

The invention provides a recognition method and a recognition system for online car-hailing brushing behaviors. The recognition method includes acquiring internet surfing information of a mobile terminal from a mobile network, wherein the internet surfing information includes terminal number and real-time position information of the mobile terminal; receiving online car-hailing information regularly reported by a vehicle-mounted online car-hailing mobile terminal, wherein the online car-hailing information includes terminal number and self-located position information of the vehicle-mounted online car-hailing mobile terminal; judging whether or not the internet surfing information includes the online car-hailing information; if yes, judging whether or not the online car-hailing informationand the internet surfing information are the same; if yes, determining non-existence of the online car-hailing brushing behaviors; if not, determining existence of the online car-hailing brushing behaviors. By the recognition method, the online car-hailing information regularly reported by the vehicle-mounted online car-hailing mobile terminal is compared with the internet surfing information ofthe vehicle-mounted online car-hailing mobile terminal truly recorded in the mobile network, the online car-hailing brushing behaviors can be recognized accurately, and accordingly, the online car-hailing brushing behaviors are eradicated completely.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular, to a method and system for identifying online car-hailing swiping behavior. Background technique [0002] Since major online car-hailing platforms have entered the urban transportation market one after another, while bringing benefits and convenience to citizens, some irregularities have also occurred frequently. Some people develop cheating software specifically for the loopholes of the online car-hailing platform, avoiding platform rules, arbitrarily "grabbing orders", "rejecting orders", setting fake GPS positioning, and even charging more fares, which not only causes huge economic losses to the company, but also Violating the interests of passengers has destroyed the ecology of the entire industry and affected the market order. For example, a "ghost car" uses a virtual positioning software to virtually transfer a vehicle that does not appear in a certain city fr...

AI Technical Summary

Problems solved by technology

[0003] At present, the major online car-hailing platforms have no good way to monitor this cheating behavior. For behaviors that cause losses to users such as ghost cars, the main way to deal with it is to give passengers a full refund first, and then deal with the driver.

For the behavior of defrauding company subsidies by swiping bills, it can only be supervised through manual review in the background

This processing method has disadvantages such as long review cycle and slow processing speed; low detection rate of cheating behaviors; only processing problems after they occur, and cannot prevent problems before they happen

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