@techreport{oai:ipsj.ixsq.nii.ac.jp:00209501,
 author = {丹羽, 康文 and 中原, 和真 and 野林, 大起 and 塚本, 和也 and 池永, 全志 and Yasufumi, Niwa and Kazuma, Nakahara and Daiki, Nobayashi and Kazuya, Tsukamoto and Takeshi, Ikenaga},
 issue = {6},
 month = {Feb},
 note = {車両に取り付けた各種センサから取得できる膨大なデータを収集し活用する Mobility as a Service (MaaS) が注目されている．MaaS の実現により，地域社会での交通・環境課題等の解決や，観光振興のための観光客の実態把握等が可能となる．本研究は，広域に分散した走行車両からの情報収集を低コストで実現するために，省電力広域    無線通信 LPWA の一つである LoRa を用いたリアルタイムデータ収集と， Wi-Fi 通信による非リアルタイムデータ収集を組み合わせたシステムを構築し，実車両を用いた市街地での実験と評価を通じ有効性を確認した．, Vehicles have become important in the daily life of citizens. Mobility as a Service (MaaS) is a promising concept to collect and utilize enormous data obtained from various sensors installed in the vehicles. By MaaS, it is expected to solve various problems about traffic jams, autonomous driving, social community, etc. In this study, we developed a data collection platform that can collect the massive data from vehicles distributed over wide area in a  cost effective way. The proposed system uses not only the LPWA (Low Power Wide Area) but also Wi-Fi networks. Through the experiment in the urban area, we  clarified that GPS data of cars can be obtained by LoRa in a real time manner, while collecting the all data in non-realtime manner.},
 title = {広域分散した走行車両を対象とした920MHz 帯LoRaによるデータ収集実験},
 year = {2021}
}