Published Papers - YOSHIHIRO Takuya

Traffic Modeling Support Scripts for City-scale Vehicle Traffic Simulation with Traffic Signal Control

Shion Suzuki, Shota Okazaki, Ryosuke Yagi, Taiki Nishimae, Hiroshi Shigeno, Takuya Yoshihiro （Part： Last author,　Corresponding author )

情報処理学会論文誌（採録決定）   66 ( 6 )   2025.06  [Refereed]

Controlling Detour Vehicle Volume for Stable Congestion Mitigation in Route Guidance Systems

Arisa Kitano, Takuya Yoshihiro （Part： Last author,　Corresponding author )

Sensors and Materials   36 ( 10 ) 4483 - 4499   2024.10  [Refereed]

A Flow-based Centralized Route Guidance System for Traffic Congestion Mitigation

Yusuke Matsui, Takuya Yoshihiro （Part： Last author,　Corresponding author )

IEEE Transactions on Intelligent Transportation Systems   25 ( 8 ) 8681 - 8694   2024.03  [Refereed]

DOI

A Transfer Learning Approach Based on Radar Rainfall for River Water-Level Prediction

Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa, Takuya Yoshihiro （Part： Last author,　Corresponding author )

Water ( MDPI AG )  16 ( 4 ) 607   2024.02  [Refereed]

　View Summary

River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological stations. A prediction model incorporating a two-dimensional convolutional neural network (2D-CNN) and long short-term memory (LSTM) is constructed to exploit geographical and temporal features of radar rainfall data, and a transfer learning method using a newly defined flow–distance matrix is presented. The results of our evaluation of the Oyodo River basin in Japan show that the presented transfer learning model using radar rainfall instead of upstream measurements has a good prediction accuracy in the case of torrential rain, with a Nash–Sutcliffe efficiency (NSE) value of 0.86 and a Kling–Gupta efficiency (KGE) of 0.83 for 6-h-ahead forecast for the top-four peak water-level height cases, which is comparable to the conventional model using upstream measurements (NSE = 0.84 and KGE = 0.83). It is also confirmed that the transfer learning model maintains its performance even when the amount of training data for the prediction site is reduced; values of NSE = 0.82 and KGE = 0.82 were achieved when reducing the training torrential-rain-period data from 12 to 3 periods (with 105 periods of data from other rivers for transfer learning). The results demonstrate that radar rainfall data and a few torrential rain measurements at the prediction location potentially enable us to predict river water levels even if hydrological stations have not been installed at the prediction location.

DOI

Monetary valuation of personal health data in the wild

Andy Alorwu, Niels van Berkel, Aku Visuri, Sharadhi Suryanarayana, Takuya Yoshihiro, Simo Hosio

International Journal of Human-Computer Studies     103241   2024.02  [Refereed]

Motivation Effect Based on Behavioral Economics in Crowd Sourcing for Communities

Miu Sento, Takuya Yoshihiro （Part： Last author,　Corresponding author )

情報処理学会論文誌   64 ( 7 ) 1153 - 1163   2023.07  [Refereed]

Predicting Microclimate Based on Difference from Meteorological Observatory

Genki Nishikawa, Takuya Yoshihiro

International Journal of Informatics Society   15 ( 1 ) 33 - 42   2023.06  [Refereed]

Simulation-Based IoT Stream Data Pricing Incorporating Seller Competition and Buyer Demands

Takuya Yoshihiro, Simo Hosio （Part： Lead author,　Corresponding author )

IEEE Access ( Institute of Electrical and Electronics Engineers (IEEE) )  11   16213 - 16225   2023  [Refereed]

DOI

Channel Assignment Based on CSMA-aware Interference Model with Overlapped Channels in Multi-Radio Multi-Channel Wireless Mesh Networks

Tian Yi, Takuya Yoshihiro （Part： Last author )

IEEE Access   10   96695 - 96709   2022.09  [Refereed]

DOI

Indoor Localization under Sparse Bluetooth Low Energy Scanner Deployment for Medical and Nursing Care of Elderly People

Takuya Yoshihiro, Takeshi Goya （Part： Lead author,　Corresponding author )

Sensors and Materials ( MYU K.K. )  34 ( 8 ) 3029 - 3045   2022.06  [Refereed]

宛先到着遅延を考慮して渋滞を緩和する自動車の経路誘導手法

松井雄資, 吉廣卓哉

情報処理学会論文誌   63 ( 2 ) 665 - 675   2022.02  [Refereed]

Achieving Hidden-terminal-free Channel Assignment in IEEE802.11-based Multi-radio Multi-channel Wireless Mesh Networks

Tian Yi, Takahiro Noi, Takuya Yoshihiro （Part： Last author )

IEICE Transactions on Communications   E104-B ( 7 )   2021.07  [Refereed]

An Incremental Approach for Optimal Feature Selection in Regression: A Case Study of Wagyu Proteome Analysis

Nanami Higashiguchi, Masatsugu Motohiro, Haruka Ikegami, Tamako Matsuhashi, Kazuya Matsumoto, Takuya Yoshihiro （Part： Last author,　Corresponding author )

International Journal of Informatics Society   12 ( 3 ) 167 - 175   2021.03  [Refereed]

Duty-cycle Communication Protocol with Wi-Fi Direct for Wireless Sensor Networks

Shiho Tashiro, Takuya Yoshihiro （Part： Last author )

Sensors and Materials   33 ( 1 ) 127 - 145   2021.03  [Refereed]

Localization with Portable APs in Ultra-Narrow-Band-based LPWA Networks

Miya Fukumoto, Takuya yoshihiro （Part： Last author,　Corresponding author )

Journal of Information Processing (JIP)   29 ( 2 ) 1 - 8   2021.02  [Refereed]

Traffic-Demand-Aware Collision-free Channel Assignment for Multi-channel Multi-radio Wireless Mesh Networks

Yi Tian, Takuya Yoshihiro （Part： Last author )

IEEE Access ( Institute of Electrical and Electronics Engineers (IEEE) )  8   120712 - 120723   2020.07  [Refereed]

DOI

Probablistic Modeling of Individual Loss in Eustoma Grandiflorum with Agricultural Sensors

masatsugu motohiro, hiromi hanada, takuya yoshihiro （Part： Last author )

Journal of Information Processing   60 ( 2 ) 375 - 384   2020.02  [Refereed]

Link-speed Aware Scheduling for Slotted-CSMA BasedWireless Mesh Networks

Yasuhiro Mori, Takuya Yoshihiro （Part： Last author )

International Journal of Informatics Society   10 ( 3 ) 129 - 138   2019.12  [Refereed]

A Traffic-Demand-Aware Collision-free Channel Allocation for Multi-channel Wireless Mesh Networks

Tian Yi, Takuya Yoshihiro （Part： Last author )

The 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2019)     2019.11  [Refereed]

Improving Accuracy of Localization with Portable APs in Ultra-Narrow-Band-based LPWA Networks

Miya Fukumoto, Takuya Yoshihiro （Part： Last author )

The 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2019)     2019.11  [Refereed]