| Project/Area Number |
23KF0151
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Multi-year Fund |
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| Section | 外国 |
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| Review Section |
Basic Section 22050:Civil engineering plan and transportation engineering-related
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KELER ANDREAS 京都大学, 工学研究科, 外国人特別研究員
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| Project Period (FY) |
2023-09-27 – 2026-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 2025: ¥300,000 (Direct Cost: ¥300,000)
Fiscal Year 2024: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2023: ¥700,000 (Direct Cost: ¥700,000)
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| Keywords | Urban Digital Twin / Traffic Accidents / Microscopic Simulation / PT Simulation / Data Fusion / Open Source Data |
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| Outline of Research at the Start |
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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| Outline of Annual Research Achievements |
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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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
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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| Strategy for Future Research Activity |
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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