计算机工程与应用Issue(16)：228-233,6.DOI:10.3778/j.issn.1002-8331.1308-0350
车-地通信场景的一种混合建模方法研究
摘要
Abstract
In order to build the distributed general formal description of the high-speed train control system, this paper takes the hybrid modeling method that combines Agent theory with HCPN for the research on the train-to-ground commu-nication scenario in CTCS. The train-to-ground communication scenario is abstracted as MAS. The internal reasoning pro-cess and the formal definition for the train-to-ground Agents in scenario is given. A hierarchical structure of HCPN model is proposed, which visualizes the process of train-to-ground communication, the overall behavior of MAS and the process of internal reasoning in Agents. The correctness of the model is ensured by analysising the state space report, as well as the feasibility of the model is verified through the multiple simulations on the model which we get how the aperiodic mes-sage retransmission interval in the case of different communication failure rates affect the performance of control train in real time during the study scenarios.关键词
车-地通信/多智能体系统(MAS)/Agent推理/层次着色Petri网Key words
train-to-ground communication/Multi-Agent System(MAS)/agent reasoning/Hierarchical Colored Petri Net(HCPN)分类
信息技术与安全科学引用本文复制引用
胡晓辉,王振强,陈永..车-地通信场景的一种混合建模方法研究[J].计算机工程与应用,2015,(16):228-233,6.基金项目
国家自然科学基金（No.61163009）；甘肃省硕导项目（No.1104-05）。 （）
