Research on analysis of public space usage using object detection technology
-
- KIMURA Hironori
- 株式会社建設技術研究所 本社国土文化研究所インテリジェンスサービスプラットフォーム
-
- YAMAWAKI Masashi
- 株式会社建設技術研究所 本社国土文化研究所インテリジェンスサービスプラットフォーム
-
- NISHIMUTA Yusuke
- 株式会社建設技術研究所 本社国土文化研究所インテリジェンスサービスプラットフォーム
-
- HAYAMI Toshiki
- 株式会社建設技術研究所 本社国土文化研究所インテリジェンスサービスプラットフォーム
-
- OGAWA Akihito
- 株式会社建設技術研究所 東京本社道路・交通部
-
- UENO Aya
- 株式会社建設技術研究所 東京本社道路・交通部
Bibliographic Information
- Other Title
-
- 物体検知技術を活用した公共空間利用状況解析に関する研究
Abstract
<p>The Ministry of Land, Infrastructure, Transport and Tourism started using Basta Shinjuku from April 2016, and since then, development and examination of transportation hubs have been carried out in various places. "Transportation function", "Disaster prevention function", and "Communication function" are listed as the basic functions that a transportation hub should have. In developing transportation hubs with these functions, it is necessary to grasp the current usage situation, operation status, and user needs. Therefore, in this research, we used object detection technology based on deep learning, which is a type of AI (artificial intelligence) technology, to analyze users and quantify the usage situation at the bus stop at the east exit of Kintetsu Yokkaichi Station. As a result, we verify the effectiveness of the object detection technology in grasping the usage situation and user needs.</p>
Journal
-
- Artificial Intelligence and Data Science
-
Artificial Intelligence and Data Science 4 (3), 83-89, 2023
Japan Society of Civil Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390016649288770944
-
- ISSN
- 24359262
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
-
- Abstract License Flag
- Disallowed