Taxi queuing system based on cloud computing technology

Abstract

The invention discloses a taxi queuing system based on a cloud computing technology, and belongs to the cloud computing application field. The taxi queuing system based on a cloud computing technologyincludes an organization structure module, a taxi quantity real-time statistics module and a query module, wherein the system creates the following organization structure through the organization structure module: a city-station name or airport name-exit-taxi pickup point is numbered; data acquisition points are set at taxi pickup points set to acquire and count the available taxis and update thedata in real time according to the taxis in and out; the query module includes taxi APP client query, touch screen machine query and link query; taxi APP client query displays all the taxi pickup points at the exit and the number of the current available taxis at each pickup point; touch screen machine query queries the pickup points of the current station or airport; and link query publicizes one query link, and passengers can directly access and query through the link and do not need to register for login. The taxi queuing system based on a cloud computing technology utilizes the cloud computing and big data technology to update and count the number of taxis at each location in real time, thus being able to effectively improve the pickup efficiency.

Description

technical field [0001] The invention relates to the field of cloud computing applications, in particular to a taxi queuing system based on cloud computing technology. Background technique [0002] Due to the needs of work and life, in recent years, the passenger capacity of high-speed railways and airplanes has increased, and the number of people taking taxis after leaving stations and airports has also increased. Many stations and airports will have many taxi points . The reasonable arrangement of vehicles at the taxi stand is related to the order maintenance and safety of the station and the airport. At night or when there is a large flow of people, the station staff may not be able to arrange taxis to queue up for passengers in a timely manner, and there will be some take-off points. Passengers can't wait for the car, and another boarding point at the station may be the situation where the car can't wait for people. This traditional way of relying solely on station staf...

AI Technical Summary

Problems solved by technology

The reasonable arrangement of vehicles at the taxi stand is related to the order maintenance and safety of the station and the airport. At night or when there is a large flow of people, the station staff may not be able to arrange taxis to queue up for passengers in a timely manner. Passengers can't wait for the bus, and another boarding point at the station may be a situation where the bus can't wait for people

This traditional way of relying solely on station staff to guide, when the passenger flow is relatively large, it is easy to cause untimely guide, backlog of passengers, and potential safety hazards

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