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Expansable distributed system of supporting large scale micro-traffic simulation

A micro-traffic simulation and distributed system technology, applied in the field of simulation, can solve the problems that the simulation structure does not have flexibility and scalability, and achieve the effect of realizing flexibility, improving efficiency, and clarifying responsibilities and functions.

Inactive Publication Date: 2007-02-14
SHANGHAI JIAO TONG UNIV
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  • Summary
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  • Description
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AI Technical Summary

Problems solved by technology

The present invention combines current Agent (software entity with autonomy, perception, and mobility in the network) technology and HLA (high-level simulation architecture) technology, so that it can provide a kind of collaboration in a distributed environment, The flexible and customizable simulation system solves the huge demand for computing resources in the current micro-simulation, the simulation structure does not have flexibility and scalability, and promotes the development of traffic simulation technology and the field of transportation

Method used

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  • Expansable distributed system of supporting large scale micro-traffic simulation
  • Expansable distributed system of supporting large scale micro-traffic simulation
  • Expansable distributed system of supporting large scale micro-traffic simulation

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Embodiment Construction

[0026] The system of the present invention takes microcomputer and high-performance computer as platform, adopts HLA and Agent technology to combine, main process is as follows:

[0027] (1) The traffic entity model library server abstracts the parameters of various traffic entity behaviors, finds out their commonality, and repeatedly verifies, and stores the final information in the database. Through this method, the simulation only needs to update different If the characteristics of the traffic entity in the area are used, the simulation can be relocated to a new traffic simulation area.

[0028] (2) Traffic flow distribution state model The server abstracts the traffic flow distribution probability model of each traffic simulation area, and stores each parameter information in the database. Through this method, only the traffic flow distribution characteristic model of different areas needs to be updated during simulation. , the simulation can be relocated to a new traffic ...

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Abstract

An expansible distribution system supporting large scale traffic micro simulation is featured as using simulation entity generating server to generate out simulation entity Agent according to traffic stream distribution state model and traffic entity behavior model based on Agent and HLA techniques, merging generated simulation entity Agent into relevant regional management Agent and coordination Agent, carrying out time synchronous management on said regional management and coordination Agents by RTI of HLA and using display module to carry out real time display of simulation result.

Description

technical field [0001] The invention proposes a system in the field of simulation technology, specifically a scalable distributed system supporting large-scale micro-traffic simulation. Background technique [0002] With the rapid increase in the complexity of urban traffic, a large amount of capital is often required to solve real traffic problems. At the same time, there are many unsafe factors in the operation in the actual environment, which makes it more difficult or even unfeasible to find an optimal solution. At this time, the application of computer technology for traffic simulation has become an effective technical means to solve traffic problems. It can not only reproduce the temporal and spatial changes of traffic flow, but also compare and evaluate various parameters, and provide an important decision-making basis for traffic planning, traffic command, and emergency treatment programs for traffic emergencies. [0003] Traffic simulation requires a huge amount of...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455
Inventor 伍建焜黄林鹏曹健李明禄
Owner SHANGHAI JIAO TONG UNIV
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