METHODOLOGY FOR RECOVERY OF CORRESPONDENCE MATRICES TAKING INTO ACCOUNT TRANSPORT FLOW RESTRICTIONS

Travel demand forecasting models are a key analysis tool used in planning the operation of the transport network and the development of infrastructure facilities. Relevant research within this topic is aimed at reducing the time and minimizing costs associated with developing a forecasting model for travel demand. The study evaluates the possibility of recovering an exact correspondence matrix based on an overloaded network, which takes into account the base / original matrix, traffic flow and their impact on the quality of the generated matrix. By means of the assessment, the admissible per-centage of deviation of the restored traffic flows, necessary for the development of a statistically significant correspondence matrix, has been determined.

EVALUATION OF CORRESNDENCE MATRICES TAKING INTO ACCOUNT TRANSPORT FLOW RESTRICTIONS

Travel demand forecasting models are a key analysis tool used in transport network planning and infrastructure development. Relevant research within this topic is aimed at reducing the time and minimizing costs associated with the development of a forecasting model for travel demand, which is used for forecasting and planning. The study evaluates the possibility of recovering an exact correspondence matrix based on an overloaded network, which considers the conditions relative to the base / initial matrix, traffic flow and their impact on the quality of the generated matrix