EVALUATION OF CORRESNDENCE MATRICES TAKING INTO ACCOUNT TRANSPORT FLOW RESTRICTIONS
Rubrics: CONSTRUCTION AND TRANSPORT
Authors:
Type:
Article
Pages:
from 183
to 184
Status:
Published
Received:
12.05.2021
Accepted:
12.01.2023
Published:
10.01.2022
Subject area:
GRNTI 73.01 Общие вопросы транспорта
Language:
Russian
Keywords:
accuracy assessment, correspondence matrix, transport planning.
Abstract (English):
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
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
Keywords:
accuracy assessment, correspondence matrix, transport planning.
accuracy assessment, correspondence matrix, transport planning.
1. Khan T., Anderson M. Accurately Estimating Origin/Destination Matrices in Situations with Limited Traffic Counts: Case Study Huntsville // AL International Journal of Traffic and Transportation Engineering 5(3), 2016. – rr.64-72.
2. Lebedeva O.A., Antonov D.V. Modelirovanie gruzovyh matric korrespondenciy gravitacionnym i entropiynym metodami // Vestnik Irkutskogo gosudarstvennogo tehnicheskogo universiteta. 2015. №5 (100). S.118-122
