A traffic movement control mitigated social dilemma for an emergency evacuation by minimizing time-cost

• Project/Area Number: 25K00232
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 21020:Communication and network engineering-related
• Research Institution: Institute of Physical and Chemical Research
• Principal Investigator: AnowarHossain Md 国立研究開発法人理化学研究所, 計算科学研究センター, 特別研究員 (60993623)
• Co-Investigator(Kenkyū-buntansha): 伊藤 伸泰 国立研究開発法人理化学研究所, 計算科学研究センター, チームリーダー (70211745)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Granted (Fiscal Year 2025)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2027: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2026: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2025: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
• Keywords: Traffic flow system / Intelligence Vehicle / Preparation for Disaster

Outline of Research at the Start

We aim to design a novel traffic network, which will be introduced in the real-life traffic flow system for a time-cost-minimizing emergency evacuation, that issues recommendations through IoT devices for adapting to the social dilemma that originated during evacuation hours. However, no previous concept other than this proposal has ever shown how IoT devices can be utilized for developing a traffic network for a time-saving evacuation. The proposed IoT-DBT networking system is dedicated to advanced computational science and AI technology.