MATRIX RECOVERY METHODOLOGY BASED ON MOBILE DATA
Journal: SCIENTIFIC PAPERS COLLECTION OF THE ANGARSK STATE TECHNICAL UNIVERSITY
Volume 2021 № 1
, 2021
Rubrics: CONSTRUCTION AND TRANSPORT
Authors:
Type:
Article
Pages:
from 117
to 120
Status:
Published
Received:
01.07.2021
Accepted:
05.07.2021
Published:
05.07.2021
Subject area:
GRNTI 73.01 Общие вопросы транспорта
Language:
Russian
Keywords:
transport, correspondence matrices, mobile technologies.
Abstract (English):
The study is aimed at comparing the methods of restoring the correspondence matrices and a more detailed study of the algorithm for restoring the correspondence matrix based on innovative mobile technologies. Previously, the correspondence matrices were reconstructed by interviewing vehicle drivers and applying gravity models, then matrix estimation methods are used to calculate traffic flows. Each of these approaches has a number of advantages and disadvantages, but there is no evidence to assess the quality of the data obtained. The results show that, in general, processing da-ta from the mobile network allows for a more reliable estimate without taking into account survey data or similar observations, and using this type of research can lead to a more consistent assessment of trips with a larger sample size
The study is aimed at comparing the methods of restoring the correspondence matrices and a more detailed study of the algorithm for restoring the correspondence matrix based on innovative mobile technologies. Previously, the correspondence matrices were reconstructed by interviewing vehicle drivers and applying gravity models, then matrix estimation methods are used to calculate traffic flows. Each of these approaches has a number of advantages and disadvantages, but there is no evidence to assess the quality of the data obtained. The results show that, in general, processing da-ta from the mobile network allows for a more reliable estimate without taking into account survey data or similar observations, and using this type of research can lead to a more consistent assessment of trips with a larger sample size
Keywords:
transport, correspondence matrices, mobile technologies.
transport, correspondence matrices, mobile technologies.
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