ROUTE RECOVERY ALGORITHM USING GEOINFORMATION DATA
Rubrics: CONSTRUCTION AND TRANSPORT
Authors:
Type:
Article
Pages:
from 179
to 180
Status:
Published
Received:
12.05.2021
Accepted:
10.01.2022
Published:
10.01.2022
Subject area:
GRNTI 73.01 Общие вопросы транспорта
Language:
Russian
Keywords:
route, optimization, geoinformation data.
Abstract (English):
Techniques for optimizing the transport network using an array of data obtained from sensors of the geoinformation system (GIS) are constantly being tested in practice in different countries. For freight transport, few data are available. The development of a transport planning model makes it possible to obtain maximum information from each dataset. Considering the modern realities of the development of methods, a visual presentation of the results of modeling with the support of GIS is required, with non-standard modeling practices
Techniques for optimizing the transport network using an array of data obtained from sensors of the geoinformation system (GIS) are constantly being tested in practice in different countries. For freight transport, few data are available. The development of a transport planning model makes it possible to obtain maximum information from each dataset. Considering the modern realities of the development of methods, a visual presentation of the results of modeling with the support of GIS is required, with non-standard modeling practices
Keywords:
route, optimization, geoinformation data.
route, optimization, geoinformation data.
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2. Camargo, P. V, Hernandez, S. V. Vehicle route reconstruction from GPS data: a map-matching algorithm harnessing open source software // 27th ARRB Conference - Linking people, places and opportunities, Melbourne, Victoria 2016.
