基于SUMO的交通网格决策本体层次模型设计

Design of SUMO-based ontology layered model for transportation grid resource

交通信息资源的合理集成是提高智能交通系统性能的有效手段。为集成交通网格上异构信息与不同领域本体,利用网格作为智能交通系统的信息资源存储与协同工作平台,利用本体作为智能交通系统资源表示和信息描述的基础,提出了基于SUMO的交通网格决策本体层次结构,论述了异构信息获取机理。实例证明此模型有利于交通信息资源的整合利用,并为基于网格的智能交通系统的决策支持及与网格上其他系统之间的开放式协作奠定了语义基础。

Reasonable integration of transportation information resources can effectively improve the performance of ITS. In order to achieve the integration goal of ITS, this paper proposed a novel SUMO-based four-layer ITS decision ontology by using grid as resource storage and cooperation platform, and utilizing ontology as resource expression base. Based on the model, this paper discussed a mechanism of heterogeneous information access and demonstrated it by a traffic accident scenario. The re- sult shows that this model availably integrates the heterogeneous resources and different domain-ontology by mapping their se- mantic to SUMO and promotes the decision support and open collaboration capacities of ITS.