面向TOCC的交通数据元标准化研究——以长沙市为例

Research on Standardization of Traffic Data Elements for TOCC——Taking Changsha City as an Example

交通运行监测调度中心(TOCC)是一个城市的交通智慧大脑,汇集了交通领域的海量数据。由于长沙各部门之间没有统一的数据元标准来指导与规范其建设,导致交通数据面临数据不规范、数据难以融合、利用率不高等问题。基于此,结合长沙市交通数据的实际情况,首先针对数据元属性进行说明,在数据元编码属性中将交通相关业务领域分成四大类;其次提出针对长沙市交通数据的数据元构建方法,并基于数据元的网状结构特点,对业务流程采用深度优先算法、对用户视图采用广度优先算法提取全而不重的数据元;最后根据业务领域的业务重点与中心要素构建简洁的数据元框架表。开展交通数据元标准研究,保障交通数据交互质量,有利于促进数据整合、提高数据利用率,进而更好地服务于交通运行监测调度中心。

Transportation Operations Coordination Center(TOCC)is a city’s transportation intelligence brain,which brings together massive data in the transportation field.However,because there is no unified data element standard among various departments in Changsha to guide and regulate the construction of TOCC,traffic data is faced with the problems of irregular data,difficult data fusion,and low utilization rate.Based on this,combined with the actual situation of Changsha traffic data,this paper firstly explains the attributes of data elements,in which the traffic-related business fields are divided into four categories in the coding attributes of data elements;secondly,the construction data for Changsha traffic data is proposed.Based on the network structure of data elements,the depth-first algorithm is used for business processes and the breadth-first algorithm is used for user views to extract data elements completely and not heavily;finally,according to the business focus and center of the business field Elements build a concise table of data element frameworks.The research on traffic data element standards carried out in this paper can ensure the quality of traffic data interaction,promote data integration,improve data utilization,and better serve TOCC.