Unsupervised learning real-time public transport dynamic scheduling system and unsupervised learning real-time public transport dynamic scheduling method in cloud platform environment

Abstract

The invention relates to an unsupervised learning real-time public transport dynamic scheduling system in a cloud platform environment. The system comprises a public transport cloud service scheduling system, an intelligent public transport integrated terminal, unsupervised learning public transport passenger flow, a station traffic element identifying label mounted on a bus station and used for uniquely identifying the bus station, and a traffic element identifying label mounted on a public transport vehicle and used for uniquely identifying the public transport vehicle, wherein the intelligent public transport integrated terminal is in wireless connection with the vehicle traffic element identifying label and the station traffic element identifying label respectively. In the system and method, the information of the public transport vehicle and station and the station passenger flow information can be collected through the intelligent public transport integrated terminal; in combination with the real-time data of public transport passenger flow provided by the public transport cloud service scheduling system, real-time public transport scheduling information service is provided, the user experience is good, the intelligent degree is high, the investment cost is low, the data stability is good and the reliability is high.

Description

technical field [0001] The invention relates to the field of real-time dynamic public transport dispatching of public transport, in particular to a real-time public transport dynamic dispatching system and method for unsupervised learning in a cloud platform environment. Background technique [0002] With the rapid development of cloud computing, Internet of Things and communication technologies, the integration of intelligent bus dispatching and new technologies has entered a new stage. The intelligent transportation system based on information distributed processing and storage and automobile mobile Internet of Things will realize real-time, accurate and efficient comprehensive transportation management on a large scale, and can effectively alleviate traffic congestion, reduce energy consumption, and reduce environmental pollution. Intelligent public transportation products and applications based on cloud computing technology will gradually enter the lives of ordinary peop...

AI Technical Summary

Problems solved by technology

[0003] Compared with traditional server technology, it is necessary to build a relatively independent processing platform in the face of massive real-time bus information processing, such as real-time bus-oriented data acquisition and processing, user-oriented information service processing, and decision-oriented data statistics and processing etc., due to the different nature of data format and algorithm processing, it is difficult to achieve integration on the same architecture, and the isolation of data and applications cannot be achieved in terms of network integrity, making it difficult for the platform to achieve an effective balance in terms of utility ratio and security

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