事件驱动的城市公共交通时空数据模型研究

A Study of Event-driven Spatio-temporal Data Model for Urban Public Traffic

以模型驱动架构为理论基础,以事件驱动的方法进行面向对象的时空数据建模研究,建立城市公共交通领域的概念模型、静态结构模型、动态行为模型和时态行为模型,并结合软件模型实现时空数据面向对象的组织与操作。事件驱动的面向对象时空数据模型实现了关系数据库和对象关系型GIS平台下面向对象的数据建模,扩展空间对象的动态行为与时态行为特征,实现对复杂空间对象的操作并保证了其空间关系及时态一致性。本研究为行业空间数据建模提供理论和方法上的参考,通过在广州市公共交通规划管理地理信息系统中的应用对模型的实用性进行验证。

This paper presents the surveys and studies of object-oriented and spatio-temporal data model based on MDA （Model Driven Architecture） via event-driven methodologies. This paper proposes conceptual model, static frame model, dynamic behavior model and temporal behavior model, and implements the organizing and operating of object-oriented and spatio-temporal data model by combining software model. The even-driven and object-oriented and spatio-temporal data model achieved object-oriented data modeling based on RDBMS （Relation Database Management System） and object-relation GIS platform; and the model extends the characteristics of dynamic behaviors and temporal behaviors of spatial entities, implements complex spatial objects processing and keeps spatio-temporal coherence. This paper provided references in the domain of theory and methodology for the industrial spatial data modeling, and also validated the model through the implementation of the Guangzhou Public Traffic Planning and Management System.