为实现复杂交通行为情境下不同专业领域异构知识的集成和共享,提出了面向道路交叉口行为情境的多领域异构知识集成建模方法.基于物理-事理-人理系统方法论(Wuli-Shili-Renli System Approach,简称 WSR方法论)构建了多层次系统解析的专业领域本体模型;基于改进的计划行为理论和本体集成方法,构建了多专业领域集成的本体模型.通过设计本体模型和元胞自动机模型的映射规则,应用元胞自动机验证了模型和方法的有效性.研究表明,通过分层次的集成,以人的行为情境为导向的辐射展开方式能够很好地解决人类行为学领域和交通工程领域的异构知识集成难点.有效识别、描述及模拟社会行为情境问题及其作用机理,对于解决交通社会问题有显著影响,为道路交叉口人性化设计提供了有效思路与方法.
This paper,with an aim to realize the integration and sharing of heterogeneous knowledge in different domains in complex traffic behavior context,proposes a road intersection behavior oriented-modeling method for multi-domain heterogeneous knowledge integration.Ontology model of subj ect domain is established through multi-level system analysis based on Wuli-Shili-Renli system approach. The integrated ontology model of multi-subj ect domain is established based on an improved Theory of Planned Behavior(TPB).The effectiveness of the proposed method is verified by cellular automaton through mapping rules design between ontology model and cellular automaton model.Results indicate that,through hierarchical integration,human behavior oriented method can properly solve the difficul-ties of heterogeneous knowledge integration between human ethology and traffic engineering.Effective identification,description,simulation of social behavior and its mechanism exert a significant influence on traffic problem solving,and will provide an effective way for the design of more human-ized road intersection.
urban trafficWSR system approachcontext modelingtheory of planned behavioron-tology integrationcellular automata
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维普
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