IIC Journal of Innovation 13th Edition | Page 36

Common Logical Data Model: Basis for Global ITS Innovation own data), road authority and service provider. Figure 1: The conceptual framework of a vehicle probe system the data that requires significant integration efforts to resolve. The service provider collects relevant, low- latency data from probe vehicles and stores the data in databases; applications and services analyze the information gathered and provide updates to the vehicles as appropriate. Data collected by the roadside and/or service providers are shared with the road authority. Likewise, the road authority might aggregate data from multiple sources and send the results to service providers. Data sharing of vehicle probe data Today, many agencies in different countries are collecting probe and roadside data to improve public safety and operational efficiency. ISO TC 204 is engaging an effort to inter-connect and share this data. The data shown on the left of Figure 2 represent collections of data from different service providers such as probe services, Electronic Fee Collection (EFC) services, information provision services and other services. As the automotive services are growing with many innovations, the type of data and the granularity of the data will be added to the While standards exist for exchanging information across each of these links, seamlessly sharing the information largely remains an elusive goal due to the lack of a common data model. Each of the interface standards have been developed separately, which often resulted in subtle differences in IIC Journal of Innovation - 32 -