Taxi passenger-carrying recommendation system based on block chain

Abstract

The invention belongs to the technical field of taxi passenger-carrying recommendation, and particularly relates to a blockchain-based taxi passenger-carrying recommendation system, which comprises a server, a processor, a passenger operation terminal and a driver operation terminal, and is characterized in that the driver operation terminal comprises an operation module and a monitoring module, and the operation module is used for controlling the monitoring module; a voice unit is arranged in the operation module; a driver carries out order receiving operation through an operation module, a monitoring module is arranged on a driver operation terminal, after a passenger maliciously complaints, the taxi driver sends shot information as an anti-defense evidence to a processor, the processor judges whether the complaint belongs to a malicious complaint or not according to the shot information, and if the complaint is judged to be the malicious complaint, the taxi driver receives the order through the operation module. If yes, the complaint to the driver is revoked, and the credit rating of the passenger is reduced; and the function of protecting the driver is achieved.

Description

technical field [0001] The invention belongs to the technical field of taxi passenger recommendation, in particular to a blockchain-based taxi passenger recommendation system. Background technique [0002] With the development of online taxi-hailing technology, many people choose online car-hailing for travel. Therefore, many taxis also use the online car-hailing system. The working process of the online car-hailing system is as follows: passengers send car orders to The platform system, the system then assigns the order to the taxi driver, and the taxi goes to the destination to pick up the passengers after receiving the order. [0003] A Chinese patent with the publication number CN113868553A discloses a hierarchical taxi passenger recommendation method and system, including dividing the grid area and constructing the spatiotemporal context matrix; inputting the spatiotemporal context matrix into the extremely deep factorization machine model xDeepFM Carry out training to...

AI Technical Summary

Problems solved by technology

[0004] There are still some problems in the above-mentioned hierarchical taxi passenger recommendation method and system. The recommendation system is generally equipped with a service evaluation function. Passengers evaluate the service of taxi drivers. These evaluations will affect the income of taxi drivers. In the actual operation process, some passengers complained maliciously, or deliberately used the These phenomena directly lead to the reduction of the evaluation of taxi drivers in the system, making it impossible for taxi drivers to receive orders normally, which has a great impact on taxi drivers. The recommended method and system have not effectively solved this problem

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