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

An unsupervised learning and dispatching system technology, applied in the field of real-time bus dynamic dispatching system, can solve the problem that the data format and algorithm processing are different in nature, cannot achieve data and application isolation, platform utility ratio and security are difficult to achieve an effective balance, etc. problems, to achieve the effect of improving operating efficiency

Active Publication Date: 2016-08-24
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 processi

Method used

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

Examples

Experimental program
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Example Embodiment

[0052] Example 1

[0053] Reference figure 1 , A real-time dynamic bus dispatch system with unsupervised learning in a cloud platform environment, including a public transport cloud service dispatch system, an integrated intelligent bus terminal, unsupervised learning bus passenger outflows, and a bus station installed on the bus platform to perform A uniquely identified platform traffic element identification label and a vehicle traffic element identification label installed on a bus for unique identification of the bus, and the intelligent public transportation integrated terminal is respectively associated with the vehicle traffic element identification label and the platform traffic element identification label Wireless connection, the intelligent public transportation integrated terminal is wirelessly connected to the public transportation cloud service dispatching system. Traveling users can use the intelligent public transportation integrated terminal as an intermediary to...

Example Embodiment

[0067] Example 2

[0068] A real-time dynamic bus dispatching method for unsupervised learning in a cloud platform environment, the specific steps include:

[0069] S1. Provide DR-GPS satellite positioning and low-power Bluetooth assisted precise positioning through the vehicle positioning function of the intelligent bus integrated terminal and traffic element identification tags;

[0070] S2. According to the current location information of vehicle positioning, collect vehicle positioning data, including time, longitude, latitude, speed, and direction through intelligent public transportation integrated terminal or public transportation cloud service dispatching system; collect vehicle operating data through intelligent public transportation integrated terminal, Including trajectory, train number, vehicle status (such as opening and closing doors), mileage, arrival information;

[0071] S3. Communicate with the data center through the intelligent bus integrated terminal or the public...

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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...

Claims

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Application Information

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IPC IPC(8): G08G1/123
CPCG08G1/123
Inventor 陈深进张传春薛洋
Owner SOUTH CHINA UNIV OF TECH
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