Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering

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Emergency Information Extraction of Transport Congestion Based on Object-oriented Classification Using High Spatial Resolution Remote Sensing Image

Authors
Tong Tang, Haixia He, Ping Wang
Corresponding Author
Tong Tang
Available Online November 2012.
DOI
10.2991/mmat.2013.36How to use a DOI?
Keywords
Emergency Transport, Transport Congestion, High Spatial Resolution, Remote Sensing, Object-oriented Classification
Abstract

Based on the assumption that road infrastructure information had not been acquired, the road information before and after the emergency transport was extracted by using high spatial resolution remote sensing images. Combined with object-oriented image analysis method, the road and vehicle information was classified in emergency phase. Road area and vehicle area was calculated. Building the vehicle road occupancy model, the purpose of this study was to assess transport congestion, to provide the decision support for the emergency transport management, to supply the technique support for the selection of emergency transport path and the establishment of reasonable emergency scheduling scheme, to lay the foundation for the spatial, knowledgeable and intelligent emergency command and control. A case study was carried out for the Yushu earthquake in April, 2010. The results show that the transport congestion was monitored accurately by using high spatial resolution remote sensing image.

Copyright
© 2013, 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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Volume Title
Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering
Series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
10.2991/mmat.2013.36
ISSN
1951-6851
DOI
10.2991/mmat.2013.36How to use a DOI?
Copyright
© 2013, 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/).

Cite this article

risenwbib
TY  - CONF
AU  - Tong Tang
AU  - Haixia He
AU  - Ping Wang
PY  - 2012/11
DA  - 2012/11
TI  - Emergency Information Extraction of Transport Congestion Based on Object-oriented Classification Using High Spatial Resolution Remote Sensing Image
BT  - Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering
PB  - Atlantis Press
SP  - 187
EP  - 192
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmat.2013.36
DO  - 10.2991/mmat.2013.36
ID  - Tang2012/11
ER  -