ACP (artificial societies, computational experiments and parallel execution) method-based traffic signal recommendation system and corresponding method

Abstract

Disclosed are an ACP (artificial societies, computational experiments and parallel execution) method-based traffic signal recommendation system and a corresponding method. The corresponding method includes collecting and processing traffic information into a sparse matrix format; setting evaluation indicators of a current task; performing data filling to the sparse matrix according to the evaluation indicators; optimizing the sparse matrix through a control algorithm to generate a scoring matrix; analyzing current road condition and matching the same to the scoring matrix; recommending a best timing plan for the current road condition according to the scoring matrix; performing the recommended best timing plan to the current road condition. According to the management, the ACP method is adopted, stimulated predictions of mass traffic conditions and the corresponding timing plans are performed in a manual system through data driving and computational experiments, finally the parallel execution is achieved in the actual traffic conditions with feedback information recorded. On the basis of a model-free self-adaptive idea, the problems such that the actual traffic conditions are difficult to accurately model, and the timing plans are not matched with the actual road conditions are solved.

Description

Technical field [0001] The invention belongs to the field of automatic control technology and information technology, and more specifically, relates to a traffic signal recommendation system based on an ACP method and a corresponding method. Background technique [0002] ACP is an acronym for Artificial societies, Computational experiments, and Parallel execution. The purpose of this method is to solve the modeling, analysis, and control problems of complex systems. The ACP method achieves the above objectives through the following three steps: 1) Use the concept of artificial society to model and express complex systems; 2) Analyze and evaluate complex systems through computational experiments; 3) Control and execute parallel operations in real and artificial systems Manage complex systems. Specifically, it is to build an artificial system with the help of the concept of artificial society. The system uses agent technology to simulate the actual complex system to achieve the pu...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problems of inaccurate modeling of traffic signal control, poor real-time performance and waste of resources, the purpose of the present invention is to provide a traffic signal recommendation system based on the ACP method and corresponding methods to overcome inaccurate modeling and real-time performance. Problems such as inability to guarantee (time matching scheme "aging") and waste of resources can finally effectively solve the main problems currently existing

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