Session Details

[4N5-GS-10g]AI application

Thu. Jun 11, 2026 3:30 PM - 5:00 PM JST
Thu. Jun 11, 2026 6:30 AM - 8:00 AM UTC
Room N(Middle room 301B)
座長:森山 甲一(名古屋工業大学)

[4N5-GS-10g-01]Feasibility of Seismic Intensity Estimation from Earthquake Damage Photographs Using a Multimodal Large Language Model

〇Hisahiko Kubo1, Masashi Shiomitsu2 (1. National Research Institute for Earth Science and Disaster Resilience, 2. Yamagata University)
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[4N5-GS-10g-02]Path Choice Modeling for Pedestrian Crowds using Deep Reinforcement Learning

〇Naoto Fujikawa1, Hideki Fujii1 (1. University of Tokyo)
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[4N5-GS-10g-03]Development of a Machine Learning–Based Demand Forecasting Method for a Trunk Railway Line and Evaluation for Extra Train Decision Support

〇Masaki Maruishi1, Tomohiro Shigeta1, Kaname Takagi2, Satoshi Tajima1,3, Kaoru Fueda3 (1. West Japan Railway Company, 2. TRAILBLAZER inc., 3. Shiga University)
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[4N5-GS-10g-04]Analysis of the Effectiveness of Introducing Transfers between Demand-Responsible and Fixed-Route Public transportation Services

〇Yukihiro Kamata1, Hiroki Sakaji1, Itsuki Noda1 (1. Hokkaido University)
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[4N5-GS-10g-05]Traffic flow optimization and congestion mitigation using reinforcement learning with a traffic simulator

〇Rikuto Ito1, Hiroyasu Inoue1,2 (1. University of Hyogo, Graduate School of Information Science, 2. RIKEN Center for Computational Science)
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[4N5-GS-10g-06](スポンサー)東北電力のAI・量子計算技術への取組

(東北電力株式会社)
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