Open AccessMETHODOLOGY FOR RECOVERY OF CORRESPONDENCE MATRICES TAKING INTO ACCOUNT TRANSPORT FLOW RESTRICTIONS
Author(s) -
Ol'ga Lebedeva
Publication year - 2021
Publication title -
sbornik naučnyh trudov angarskogo gosudarstvennogo tehničeskogo universiteta
Language(s) - English
Resource type - Journals
ISSN - 2686-7788
DOI - 10.36629/2686-7788-2021-1-1-121-124
Subject(s) - matrix (chemical analysis) , key (lock) , computer science , flow network , traffic flow (computer networking) , operations research , quality (philosophy) , flow (mathematics) , mathematical optimization , data mining , mathematics , philosophy , materials science , geometry , computer security , epistemology , composite material
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.