PLUSLAB Mobile Computing Lab, Aichi Institute of Technology

← Research

last 5 years 4 total 6 since 2019

Decision Support for Emergency Medical Transport

Research on using ambulance operation data to support decisions about destination hospitals and routes with data. From existing AVM data, which records a vehicle's position, state and traveling speed, we study a system that estimates candidate destination hospitals, visualizes congested locations and shows transport records on a map. Basic operation was confirmed with a prototype system using data from Nagoya City, and we aim to build an information platform for understanding trends in emergency transport.

RELATED PUBLICATIONS Publications on this theme

Not peer-reviewed Workshop

救急車AVM運用データを活用した搬送傾向分析システムの試作

  1. 内藤彩乃
  2. 盛重晴登
  3. 太田圭祐
  4. 柴田侑里子
  5. 大屋萌奈
  6. 山里敬也

情報処理学会研究報告 モバイルコンピューティングと新社会システム (MBL), Vol.2026-MBL-119, No.46, pp.1-8

Peer-reviewed Conference

Machine Learning-Based Decision Support for Hospital Selection in Emergency Ambulance Operations

  1. Ayano Naito
  2. Keisuke Ota
  3. Takaya Yamazato

2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), pp.1-2

doi.org/10.1109/ccnc65079.2026.11366596
Not peer-reviewed Workshop

AVM データを活用した救急医療支援アプリケーションのプロトタイプ開発

  1. 柴田侑里子
  2. 大屋萌奈
  3. 山里敬也
  4. 内藤彩乃

電子情報通信学会 AA-ITS 第3回研究会, pp.1-3

Not peer-reviewed Workshop

AVM データを用いた救急車両の走行遅延箇所分析システムの提案

  1. 大屋萌奈
  2. 柴田侑里子
  3. 山里敬也
  4. 内藤彩乃

電子情報通信学会 信学技報 AA-ITS 第3回研究会, pp.1-3

Peer-reviewed Conference

Proposal of Traffic-Light Detection Scheme Based on Online Map Images

  1. Katsuhiro Naito
  2. Ryota Ono
  3. Yuki Mori

The 24rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2020, Vol.1, No.1, pp.1-6

Peer-reviewed Conference

Analysis of Data Collected by the 700 MHz Band Intelligent Transport Systems for Reducing Ambulance Transportation Time

  1. Takuya Mitani
  2. Takaya Yamazato
  3. Katsuhiro Naito
  4. Yuki Mori

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)

doi.org/10.1109/iccve45908.2019.8965232