Intelligent riding system which can generate riding scheme and predict passenger flow

Abstract

The invention discloses an intelligent riding system which can generate a riding scheme and predict passenger flow, and the system comprises a user management system, a riding plan management system which is connected with the user management system through communication, a bus management system which is connected with the riding plan management system through communication, a riding scheme processing module which is connected with the bus management system through communication; the riding scheme processing module is communicated with an intelligent client and the user management system; and the system also comprises at least one passenger flow prediction device. The invention realizes automatic and intelligent provision of a riding scheme, provides convenience for bus taking during a trip of passengers, reduces the time for waiting for a bus for passengers, reduces the probability for missing a bus for passengers, predicts bus passenger flow, predicts valuable passenger flow predicted values such as the passenger flow of each bus route and each bus, the passenger flow of each bus station, and the passenger flow of each bus at certain time, and provides scientific basis and data support for reasonable operation and scheduling of buses.

Description

technical field [0001] The invention relates to the technical field of urban public transportation systems, and more specifically, relates to an intelligent ride-hailing system capable of generating ride-taking schemes and predicting passenger flow. Background technique [0002] There are two problems to be solved in the urban bus system. The first problem is that passengers will encounter two very inconvenient situations in the process of taking a bus: one is that passengers often wait for a long time at the station to wait for the bus they want to take, and the other is that passengers will bump into to the situation where you miss the bus you want to take. The reason for these two problems is the non-transparency of real-time bus operation data, that is, passengers cannot know when the bus they want to take will arrive at the boarding station. Passengers cannot reasonably arrange their own travel plans without knowing the real-time operating data of the bus, but can onl...

AI Technical Summary

Problems solved by technology

But this method is only a query system with the help of mobile phones. Passengers need to initiate queries by themselves every time, so that passengers always repeat the same operation, which will cause fatigue to passengers after a long time.

At the same time, this method returns the most suitable bus when querying. The reminder function is only to prevent passengers from missing the bus returned by the system, but the passenger has already missed the bus that best matches his travel plan when querying. solve

[0007] The second question is how to carry out statistics on bus passenger flow, which provides an important data basis for the decision-making of bus dispatching.

Its predictability can only predict the passenger flow in the same period of time in the future based on the actual passenger flow, but due to the randomness of passengers' riding behavior, its predictive value is not high

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