| 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 | shared transport / electric vehicles / autonomous vehicles / simulation / V2G |
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| 研究実績の概要 |
In this FY we made progress on the simulation of shared electric autonomous vehicles in a range of directions. This has led to conference papers.
Firstly, we modelled the competition and collaboration between public transport and SAEVS. We were using for this data from Kyoto. Demand data are obtained as well as a model abstraction of the public transport network is created. Based on this we started to obtain ann understanding as to how the modal split in a city might be changing under different pricing policies. We are testing scenarios
of fixed prices per km as well as origin-destination and time dependent prices. We furthermore obtain the energy needs for the vehicle fleet based on these scenarios. Secondly, we continue a model where an SAEV fleet is used for "frequency-reserve control". The fleet operator obtains money from the electric energy provider for guaranteeing to deliver energy in case of an energy bottleneck. In turn the additional profit might be used to provide a larger fleet and improve the service. We test this win-win-win situation for energy providers, SAEV operators and travelers with data from Germany. Furthermore potential future scenarios as to how many people might be relaying on SAEVs are discussed.
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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
In FY 2020 we made largely progress as planned, though the inability to travel and present results at international conferences has to some degree hampered this research. In particular, it has been difficult also to establish collaborations in Japan on this research topic.
At the same time, the theoretical modelling has advanced in line with expectations and we explored a range of related topics.
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| 今後の研究の推進方策 |
In the final financial year we are planning to continue the above described research directions. With additional sensitivity analysis and robust case studies we are then aiming for journal submissions. We have further established a collaboration with colleagues in Germany which we aim to deepen also beyond the duration of this project. Finally, we hope to discuss our results within broader context also with other colleagues from Japan working in similar research directions.
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