Validation of Origin-Destination Matrix by Open Data

DOI

10.2991/csit-19.2019.6How to use a DOI?

Keywords

Transport process, origin-destination matrix, SUMO, gravity model, Uber Movement, transport simulation, OpenStreetMap, transport analysis zones.

Abstract

Many global factors can influence the socio-economic situation in the country. One such factor is the transport systems of cities. It depends on the state of the transport infrastructure of the city: business development, investment, quality of life, employment growth. However, in larger cities observed the deterioration of the situation with the transport systematic in connection with the increasing number of cars and other factors. To solve these problems resort to modelling. The dynamic modelling allows to determine the characteristics of the future project (capacity, number of road lanes, traffic light cycle, etc.) without high capital investments. Modeling of transport processes has been used in practice for a long time, but there is a problem in checking the compliance of the constructed model with the real transport situation. Existing methods, such as the manual method of collecting information about traffic flows, are expensive and labor-intensive. Authors propose the method of validation of origin-destination matrix by open data provided by Uber company.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Evgeny Mayorov
AU  - Oleg Saprykin
PY  - 2019/12
DA  - 2019/12
TI  - Validation of Origin-Destination Matrix by Open Data
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 33
EP  - 37
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.6
DO  - 10.2991/csit-19.2019.6
ID  - Mayorov2019/12
ER  -