研究者詳細 - 河口　信夫

論文 - 河口　信夫

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地形の影響を考慮した積雪時のバス遅延の分析と到着時刻予測への適用査読有り

廣井慧, 花之内広太郎, 今井瞳, 河口信夫

電気学会論文誌Ｃ（電子・情報・システム部門誌） 140 巻巻 ( 2 号 ) 頁： 257 - 266 2020年2月

An analysis of bus traffic delay with geographical characteristics and an application to arrival time prediction in snowfall situation

Hiroi K., Hananouchi K., Imai H., Kawaguchi N.

IEEJ Transactions on Electronics, Information and Systems 140 巻 ( 2 ) 頁： 257 - 266 2020年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：IEEJ Transactions on Electronics, Information and Systems

Bus transportation service is more influenced than other public transport by various factors such as traffic congestion, weather condition, number of passengers, traffic signals. These factors often cause delay and the users may feel inconvenience while waiting at the bus stop. In the case of snowfall event, a large delay occurs, which greatly reduces the convenience of the bus. This paper aims at highly accurate arrival time prediction for each bus stop section in snow event in urban area. We investigate vulnerability of bus operations to snowfall and incorporate into predictions using geographical characteristics. In each bus stop section, we estimate geographical characteristics (gradient angle and gradient direction) and snow accumulation amount with detailed spatial resolution as factors affecting bus delay. Then, we evaluate a prediction accuracy using the arrival time prediction model with multiple regression analysis and the Kalman filter. As a result of the multiple regression analysis, it was found that the geographical characteristics of each bus stop section were the explanatory variables that greatly affect the bus delay at snowfall event. Furthermore, we predicted the bus arrival time using actual bus operation data. Of the 29 routes, 18 routes showed improvement in the predicted arrival time.

DOI： 10.1541/ieejeiss.140.257

Scopus

CiNii Research

Nurse Care Activity Recognition Challenge: A Comparative Verification of Multiple Preprocessing Approaches

Matsuyama, H; Yoshida, T; Hayashida, N; Fukushima, Y; Yonezawa, T; Kawaguchi, N

UBICOMP/ISWC '20 ADJUNCT: PROCEEDINGS OF THE 2020 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2020 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS 頁： 414 - 418 2020年

ユーザの休日における外出先POI情報に基づくプライバシーを考慮した居住地属性推定手法の一検討

湯木悠太, 米澤拓郎, 廣井慧, 河口信夫

情報処理学会研究報告モバイルコンピューティングとパーベイシブシステム研究会（MBL） Vol.2019-MBL-03 巻 ( No.7 ) 2019年11月

Anomaly Event Detection using Bus Management Information -Case Study of Anomaly Operation Status Detection and Its Application 査読有り Open Access

Wei Sun , Kei Hiroi , Takuro Yonezawa , Nobuo Kawaguchi

( 2019-ITS-79(5) ) 頁： 1 - 5 2019年11月

Anomaly Event Detection using Bus Management Information -Case Study of Anomaly Operation Status Detection and Its Application 査読有り

Wei Sun, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

( 2019-ITS-79(5) ) 頁： 1 - 5 2019年11月

An End-to-End BLE Indoor Location Estimation Method using LSTM 査読有り

Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

ICMU2019 2019年11月

An End-to-End BLE Indoor Location Estimation Method using LSTM 査読有り

Kenta Urano, Kei Hiroi, Takuro Yonezawa, Nobuo Kawaguchi

ICMU2019 2019年11月

An End-to-End BLE Indoor Location Estimation Method Using LSTM

Urano K, Hiroi K, Yonezawa T, Kawaguchi N

2019 12th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2019 2019年11月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：2019 12th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2019

Indoor location estimation has long been researched to realize location-based services. In this paper, we propose an indoor location estimation method for Bluetooth Low Energy (BLE) devices using end-to-end LSTM neural network. We focus on large-scale exhibition where is a tough environment for wireless indoor location estimation due to signal strength instability. To achieve higher accuracy, deep learning based methods are proposed rather than trilateration or fingerprint. Existing deep learning based methods estimate the location from the probabilities using the difference of query signal strength and autoencoder-reconstruction of it. Proposed method adopts end-to-end location estimation, which means the neural network takes a time-series of signal strength and outputs the estimated location at the latest time in the input time-series. We also build a loss function which takes how a person walks into account. Considering the difficulty of data collection within a short preparation term of an exhibition, the data generated by a simple simulation is used in the training phase before training with a small amount of real data. As a result, the estimation accuracy is average of 1.92m, using the data collected in GEXPO exhibition in Miraikan, Tokyo. Proposed method outperforms our previous trilateration based method's 4.51m average.

DOI： 10.23919/ICMU48249.2019.9006638

Scopus

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Sampling Rate Dependency in Pedestrian Walking Speed Estimation using DualCNN-LSTM 査読有り

Takuto Yoshida, Junto Nozaki, Kenta Urano, Kei Hiroi, Katsuhiko Kaji, Takuro Yonezawa, Nobuo Kawaguchi

Ubicomp2019 2019年10月

End-to-End Walking Speed Estimation Method for Smartphone PDR using DualCNN-LSTM 査読有り

Nobuo Kawaguchi, Junto Nozaki, Takuto Yoshida, Kei Hiroi, Takuro Yonezawa, Katsuhiko Kaji

The Tenth International Conference on Indoor Positioning and Indoor Navigation(IPIN2019). 2019年9月

End-to-End Walking Speed Estimation Method for Smartphone PDR using DualCNN-LSTM 査読有り

Nobuo Kawaguchi, Junto Nozaki, Takuto Yoshida, Kei Hiroi, Takuro Yonezawa, Katsuhiko Kaji

The Tenth International Conference on Indoor Positioning and Indoor Navigation(IPIN2019). 2019年9月

Ballroom Dance Step Type Recognition by Random Forest Using Video and Wearable Sensor 査読有り

Hitoshi Matsuyama, Kei Hiroi, Katsuhiko Kaji, Takuro Yonezawa, Nobuo Kawaguchi

UBICOMP/ISWC'19 2019年9月

歩容に頑健なPDRのための深層学習を用いた歩行速度推定手法

吉田拓人, 野崎惇登, 廣井慧, 梶克彦, 米澤拓郎, 河口信夫

研究報告ユビキタスコンピューティングシステム（UBI） 2019年8月

ニューラルネットワークを用いた大規模イベント向けBLE屋内位置推定の比較評価 Open Access

浦野健太，廣井慧，米澤拓郎，河口信夫

マルチメディア、分散協調とモバイルシンポジウム2019論文集(DICOMO2019) 2019年7月

回転磁石マーカを用いたスマートフォン所持者の2次元経路推定 Open Access

渡邊康祐, 廣井慧, 米澤拓郎, 梶克彦, 河口信夫

マルチメディア、分散協調とモバイルシンポジウム2019論文集(DICOMO2019) 2019年7月

人の回避行動を考慮した移動ロボットの経路計画法の検討 Open Access

浅井悠佑，廣井慧，米澤拓郎，河口信夫

マルチメディア、分散協調とモバイルシンポジウム2019論文集(DICOMO2019) 2019年7月

異なるサービス提供者間におけるトラストモデルとその実装に関する研究 Open Access

平野流，廣井慧，米澤拓郎，河口信夫

マルチメディア、分散協調とモバイルシンポジウム2019論文集(DICOMO2019) 2019年7月

自動運転車のレーザセンサを利用した路面性状調査査読有り Open Access

浦野健太, 廣井慧, 加藤真平, 駒形望, 河口信夫

マルチメディア、分散協調とモバイルシンポジウム2018論文集(DICOMO2018) - 巻 ( - ) 頁： 264 - 269 2019年7月

高齢者の外出促進を目的とした行動認識の適応学習およびチャットアプリケーションの実証実験査読有り Open Access

玉森聡, 石黒祥生, 廣井慧, 河口信夫, 武田一哉

コンシューマ・デバイス＆システム(CDS)研究会トランザクション 9 巻 ( 2 ) 頁： 33 - 46 2019年5月

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