| 研究課題/領域番号 |
19F19768
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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 |
IACOBUCCI RICCARDO 京都大学, 工学(系)研究科(研究院), 外国人特別研究員
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| 研究期間 (年度) |
2019-11-08 – 2022-03-31
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| キーワード | carsharing / ridesharing / electric vehicles / vehicle to grid |
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| 研究実績の概要 |
In the first few months of this project the fellow and the PI have discussed various implementation methods of the research question. We discussed in particular modelling of behavioural questions in the ride matching problem with shared vehicles. This has led to a paper submitted and accepted by ITSC. The paper discusses a strategy for offering ride-sharing in one-way car-sharing systems. To this end, a graph-based approach using passenger pooling is designed. Then, both online and offline trip-matching algorithms are designed and their performance is investigated using a large data set from the city of New York. Besides this, there is ongoing work on a model that advances the fellow's previous work on optimisation on the electricity selling and buying rhythms over the course of the day of a shared electric vehicle fleet to be feasible for larger implementations.
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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 work is progressing largely as expected. The project targets a challenging problem with rich possibilities for several research avenues and some time is spent investigating the different options in more detail. Nevertheless, since an initial peer-reviewed paper has already been written, it can be seen that progress is fairly smooth.
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| 今後の研究の推進方策 |
In the FY2020 both of the above mentioned research directions will be continued. Firstly, the choice behaviour of participants in the ride- and car-sharing scheme will be modelled in more detail. Also the impact of different service levels and pricing schemes will be investigated in more detail. For the V2G work, the New York case study will be advanced as well as discussions on a Japanese case study continued.
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