| 研究課題/領域番号 |
23KF0151
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| 研究種目 |
特別研究員奨励費
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| 配分区分 | 基金 |
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| 応募区分 | 外国 |
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| 審査区分 |
小区分22050:土木計画学および交通工学関連
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| 研究機関 | 京都大学 |
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研究代表者 |
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| 研究分担者 |
KELER ANDREAS 京都大学, 工学研究科, 外国人特別研究員
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| 研究期間 (年度) |
2023-09-27 – 2026-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
2,000千円 (直接経費: 2,000千円)
2025年度: 300千円 (直接経費: 300千円)
2024年度: 1,000千円 (直接経費: 1,000千円)
2023年度: 700千円 (直接経費: 700千円)
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| キーワード | Urban Digital Twin / Traffic Accidents / Microscopic Simulation / PT Simulation / Data Fusion / Open Source Data |
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| 研究開始時の研究の概要 |
Microscopic traffic simulation aids traffic research, planning, and safety. We replicate Kyoto's transportation network with SUMO. Our novel approach combines accident data, maps, bus trajectories, and points of interest to enhance analysis. This informs us about public transport performance, accident likelihood near attractions, and bus traffic patterns, shedding light on phenomena like "bus bunching." Valuable insights for both theory and practice emerge.
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| 研究実績の概要 |
The research related to all of the 4 proposed segments (S1: Calibrating of the Simulation Network, S2: Spatial Analysis, S3: Experiments, S4:Intermodal aspects), with significant progress in [S2] and [S3]. Works in [S1] involve tasks such as data gathering and simulation network design. The outcomes for [S2] on traffic-safety-related applications have focused on the relation between accidents and junction visibility. Collaborations with research institutions, Kyoto Police, and the City of Kyoto provide novel perspectives on project challenges and highlight the importance of mitigating strategies for “over-tourism” in Kyoto. In [S3], first city-wide public transport simulation insights have been derived. [S4] has an application with simulating the electric Keihan bus line 300.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The research largely follows the proposal with some more focus on accidents due to interdisciplinary collaborations that have established this year. Also some students are involved in the project and are focusing on traffic-safety-related tasks as defined in [S2], which also serve as thesis topics. Ongoing research exchange resulted also in in focusing on visibility analysis [1] within [S2]. Additionally, it is found that [S1] is rich in research as a variety of data bases and types currently exist and there are numerous options of how to fuse them. Further, previous research conducted at Kyoto U and at Ritsumeikan U could be utilised. This enabled the discussion of numerous ideas on how to model tourist flows in Kyoto and for data to be used for a subsequent city-wide simulation.
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| 今後の研究の推進方策 |
The ongoing research covers mainly the segments [S2] and [S3], with numerous applications of data analysis and traffic flow simulation. Future steps involve focusing on calibration of the Gojo street simulation, including signal control and traffic flows. This will help gaining more confidence in some of the so far obtained results. Besides testing new records of the 1100 traffic counters in Kyoto for demand calibration, recent bus trajectories will be used for performing validations. Overall, [S1] is research-intense and complex as it covers data fusion. The simulation outcomes in [S3] serve for defining base scenarios in [S4], where tourist flows and public transport services are modelled. These tasks have the current priority as the next steps within the research project.
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