Data Actualization Using Regression Models in Decision Support System for Urban Transport Planning

A systematic approach to urban transport system planning and managing means the inclusion of a systematic monitoring system to collect the necessary data and periodically updating the DSS databases, as well as updating of models in their repositories. This should be supported by introduction of new data and information without changing and deleting the old. The authors proposed the application of regression analysis for data actualisation and new obtaining, and considered several task settings for realization of such approach. The proposed methodology focuses on the issues of data updating and preparation for modelling, consideration of model preparation and simulation scenarios including the analysis of the influence of the new solution implementation on the neighbouring fragments of the network. The approach has been approved using the simulation model for a fragment of Riga City. The offered procedures can be used in the frame of model-driven DSS and give the possibility to fulfill the process of the model actualisation faster and less expensive without loss of accuracy.