Parallel vehicle networking system based on ACP method and social physical information system

Abstract

The invention discloses a parallel vehicle networking system based on an ACP method and a social physical information system. The parallel vehicle networking system based on an ACP method and a social physical information system includes a practical vehicle networking system and an artificial vehicle networking system, wherein physical space is formed in the practical vehicle networking system; a physical entity senses the physical entity information and transmits the physical entity information to the practical network space of the practical vehicle networking system; the artificial vehicle networking system is provided with a dynamic artificial vehicle networking model; the dynamic artificial vehicle networking model is established based on the physical entity information; the dynamic artificial vehicle networking model transmits the artificial vehicle networking information to the artificial network space; and a parallel execution mechanism is arranged between the practical network space and the artificial network space to perform information parallel interaction to perform real time optimization and updating on the dynamic artificial vehicle networking model and feedback the result which is obtained through optimization processing of computational experiments to the practical vehicle networking system, that is, a parallel execution mode is utilized between the practical vehicle networking system and the artificial vehicle networking system to realize an efficient on-line bidirectional feedback mechanism of the parallel vehicle networking system.

Description

technical field [0001] The invention relates to a vehicle networking system, in particular to a parallel vehicle networking system based on an ACP method and a social physical information system. Background technique [0002] Intelligent transportation system (Intelligent transportation Systems, referred to as ITS) is a system established by effectively integrating advanced information technology, data communication transmission technology, electronic sensing technology, electronic control technology and computer processing technology into the entire ground traffic management system. It is a real-time, accurate and efficient comprehensive transportation management system that plays a role in a wide range and in all directions. ITS can effectively use existing transportation facilities, reduce traffic load and environmental pollution, ensure traffic safety, improve transportation efficiency, promote social and economic development, improve people's quality of life, and promot...

AI Technical Summary

Problems solved by technology

[0004] The traditional Internet of Vehicles architecture is mostly composed of perception layer, network layer, support layer and business layer. Information flows in one direction from bottom to top between layers, which is not conducive to ensuring the simplicity, stability and robustness of the Internet of Vehicles system.

Furthermore, the data analysis of the traditional Internet of Vehicles system is based on static or general traffic models. However, in the actual Internet of Vehicles system, the traffic environment is constantly changing, and the data analysis process based on the traditional model cannot effectively solve the problems faced by the actual Internet of Vehicles.

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