�ڳ��н�ͨ��Ϣ�����л��ڱ���������ں�ģ��

交通信息融合技术已成为智能交通系统中研究热点，它对于城市交通综合管理、交通预案应急联动以及数字城市建设有着十分重要的意义. 采用本体技术和语义逻辑代数方法，
对多源异构的城市交通信息的统一表示、融合等问题进行了深入探索. 通过城市交通本体建立静态和动态的城市交通信息的统一语义模型，并定义本体在语义层面上的融合规约和代数操作，以实现城市交通信息融合在语义上的完备性和一致性. 在城市交通信息集成中增加语义融合功能，对降低交通信息集成的数据量，提升集成后交通信息的查询和分析效率及准确性都有较大帮助，在实践应用中也体现了一定的效果.

A Ontology-based Semantic Fusion Model in Information Integration of Urban Transport

Traffic information fusion technology receives increasing attention in intelligent transportation system study. It is rather important for the integrated management of urban transportation, traffic and emergency response plans, and the construction of digital cities. The fusion and unified representation of heterogeneous multi-source are deeply analyzed using ontology technology and methods of logic algebra semantics. To achieve the fusion of urban traffic information in the semantic completeness and consistency, it develops a semantic model of static and dynamic information through urban transportation ontology and defines the statute and the algebraic operations of semantic fusion in ontology level. With newly-added semantic fusion function, the method is capable of reducing the data amount and improving the efficiency and accuracy of the integration of traffic information query and analysis.