Summary
This is the startup seminar for the newcomers to BinN Studies Unit from Septermber. Basic knowledge for the researches is shared such as traffic allocation and behavior modeling, as well as the usage of necessary softwares.
Schedule
| Date | Time | Presenter | Title | Contents |
|---|---|---|---|---|
| 11/24(Thu) | 14:55-16:40 | Kato | Basics of Python | Shortest path, optimization problem |
| 11/28(Mon) | 14:55-16:40 | Kobayashi | Programming of Estimation Part1 | Parameter estimation of MNL, NL and RL model |
| Kodama | Urban Study in Japan Part1 | Land usage, urban planning | ||
| 12/6(Tue) | 16:50-18:35 | Kasun, Kondo | EM Algorithm | Parameter estimation using EM algorithm (R) |
| Fukutani | Reconstruction | Dynamic resident choice model and management under reconstruction | ||
| 12/20(Tue) | 16:50-18:35 | Mayuzumi | ZDD | Matching and ZDD |
| Watanabe | Programming of Estimation Part2 | Parameter estimation | ||
| 12/21(Wed) | 16:50-18:35 | Nakao, Hagiwara | Urban Study in Japan Part2 | History of urban area in Japan |
| 12/23(Fri) | 16:50-18:35 | Ogawa, Suzuki | Microsimulation, Equilibrium Allocation | Microsimulation, Equilibrium Allocation |
References
・ネットワーク行動学 -都市と移動-・土木学会 (2017), 土木計画学ハンドブック, コロナ社
・交通工学研究会 (1993), やさしい非集計分析, 社団法人交通工学研究会
・Yossi Sheffi (1985), URBAN TRANSPORTATION NETWORKS, Prentice Hall
・K. Train (2003) Discrete Choice Methods with Simulation, Cambridge University Press
Presentation
Materials for the presentations will be provided after each lecture fininshes.
No. 1: Basics of Python
Shortest path, optimization problem
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●Slide
No. 2: Programming of Estimation Part1, Urban Study in Japan Part1
Parameter estimation of MNL, NL and RL model, Land usage, urban planning
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●Slide
No. 3: EM Algorithm, Reconstruction
Parameter estimation using EM algorithm (R), Dynamic resident choice model and management under reconstruction
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●Slide
No. 4: ZDD, Programming of Estimation Part2
Matching and ZDD, Parameter estimation
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●Slide
No. 5: Urban Study in Japan Part2
History of urban area in Japan
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●Slide
No. 6: Microsimulation, Equilibrium Allocation
Microsimulation, Equilibrium Allocation
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●Slide
