@article{oai:kyutech.repo.nii.ac.jp:00007191,
 author = {Nobayashi, Daiki and 野林, 大起 and Niwa,  Yasufumi and Tsukamoto, Kazuya and 塚本, 和也 and Ikenaga, Takeshi and 池永, 全志},
 journal = {2020 International Conference on Computational Science and Computational Intelligence (CSCI)},
 month = {Jun},
 note = {The MaaS (Mobility as a Service), which collects, analyzes, and utilizes various data obtained various types of vehicles, is expected to solve various problems about traffic jams, autonomous driving, social community, etc. In this paper, we propose the vehicle management system at a low cost and effecivery using LoRa and Wi-Fi communication. Furthermore, we propose the application to estimate the arrival time assuming the use by a rental car company. The effectiveness of the proposed method is evaluated through demonstration experiments., 2020 International Conference on Computational Science and Computational Intelligence (CSCI 2020), 16-18 December, 2020, Las Vegas, Nevada, USA},
 title = {Development of Vehicle Management System using Location Data Collected by 920MHz LoRa},
 year = {2021},
 yomi = {ノバヤシ, ダイキ and ツカモト, カズヤ and イケナガ, タケシ}
}