Classification of Road Congestion Status Using Satellite Images and a Three-Dimensional Map
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- Shinmura Fumito
- Graduate School of Science and Technology, Shizuoka University
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- Yokoi Akira
- Japan Traffic Management Technology Association
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- Saji Hitoshi
- Graduate School of Science and Technology, Shizuoka University
Bibliographic Information
- Other Title
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- 衛星画像と3 次元地図を用いた道路混雑状況の判別
- エイセイ ガゾウ ト 3ジゲン チズ オ モチイタ ドウロ コンザツ ジョウキョウ ノ ハンベツ
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Abstract
This paper proposes a classification method of road congestion status using satellite images for collecting traffic information without ground-based sensors. In our method, we first extract vehicle edges eliminating several noises using various image processing methods. Then, we compute the number and the density of vehicles in each road section, and we classify the road congestion status using the density. In our study, we propose a new method of using three-dimensional map information for processing the occlusion and the shadow in the road caused by high buildings. We show the evaluation results of our experiments using real images in urban areas, and we show the possibility of traffic information collection in urban areas using satellite images and a three-dimensional map.
Journal
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- The Journal of the Institute of Image Electronics Engineers of Japan
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The Journal of the Institute of Image Electronics Engineers of Japan 42 (1), 15-24, 2013
The Institute of Image Electronics Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204611497984
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- NII Article ID
- 130004870599
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- NII Book ID
- AA12563298
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- ISSN
- 2186716X
- 13480316
- 02859831
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- NDL BIB ID
- 024281458
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed