Temporal index dispatcher layer service for intelligent transport system

Data processing in the area of intelligent transport systems requires developing important ways of communication technology with emphasis on efficiency. Vehicles change their locality and occurrence over the time, it alters the entire network topology and influences communication possibilities. Therefore, it is necessary to reduce the amount of transmitted data without any loss of information value. Each element can provide a lot of data, which have mostly sensorical background. In this paper, we focus on the modelling methods and storing possibilities, process of obtaining data from the network nodes. For effective management, we develop index service layer surrounded by tablespaces, which enhances system performance in terms of the collection and transmission of data. We deal with tablespace localization in the same server or remote server solution. These environments are compared each other to declare properties, performance and limitations.