AUTOMATED PEDESTRIAN DATA COLLECTION FOR THE ESTIMATION OF DISCRETE-CHOICE-BASED PEDESTRIAN BEHAVIOR MODEL
Bibliographic Information
- Other Title
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- 離散選択型歩行者挙動モデル推定のための歩行者座標の自動抽出に関する基礎的研究
- リサン センタクガタ ホコウシャ キョドウ モデル スイテイ ノ タメ ノ ホコウシャ ザヒョウ ノ ジドウ チュウシュツ ニ カンスル キソテキ ケンキュウ
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Abstract
Microscopic simulations based on discrete-choice-type pedestrian walking behavior model have potential of contributing to detailed spatial planning and designs. However, in order to estimate unknown parameters it needs large amount of pedestrian behavior data. This paper develops the efficient data collection method based on digital image processing techniques. In particular, we compare two methods: the standard background subtraction method and the newly proposed particle filte method. By conducting comparative studies with respect to model calibration using the data collected through a fiel experiment, we fin that the proposed method would have high accuracy enough to be practically applicable.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
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Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 67 (5), 67_I_787-67_I_800, 2011
Japan Society of Civil Engineers