Method for temporarily allocating traffic resources based on cloud computing technology

Abstract

The invention provides a method for temporarily allocating traffic resources based on a cloud computing technology. The method is different from the prior art that only artificial and lagged passengercar allocation can be carried out for a single passenger station. According to real-time passenger flow rates of all bus stations in different time periods and corresponding passenger flow rate change information, the passenger flow rate can be adjusted. The passenger car demand information of the passenger station can be automatically and timely determined; therefore, overall coordination of passenger car demand information of the passenger station is realized; according to the passenger car dispatching method and system, the situation that subsequent dispatching is unbalanced due to the fact that passenger car demand information is determined only for the passenger stations is avoided, adaptive passenger car dispatching is conducted on the passenger stations according to the passenger car demand information, and therefore passenger car optimal dispatching of the passenger stations is achieved, and the passenger dispersing speed and efficiency of the passenger stations are improved.

Description

technical field [0001] The invention relates to the technical field of big data traffic control, in particular to a method for temporarily allocating traffic resources based on cloud computing technology. Background technique [0002] With the development of urban public transportation network, residents rely more and more on public transportation, and the punctuality and reliability of public transportation directly affect the time-consuming and riding experience of residents. However, the number of urban residents is huge and the urban traffic situation is complicated. Especially during holidays, when a large number of residents travel at the same time, it will inevitably happen that a large number of passengers gather at passenger stations and the waiting time for buses is too long, which seriously restricts The development and service quality of urban public transport. However, the existing technology can only relieve passengers by man-made scheduling for the situation ...

AI Technical Summary

Problems solved by technology

However, the number of urban residents is huge and the urban traffic situation is complicated. Especially during holidays, when a large number of residents travel at the same time, it will inevitably happen that a large number of passengers gather at passenger stations and the waiting time for buses is too long, which seriously restricts The development and service quality of

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