| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1177/0037549716629726 |
| Optimizing layouts of initial refueling stations for alternative-fuel vehicles and experiments with agent-based simulations. | |
| Zhao J; Ma T | |
| 发表日期 | 2016 |
| 出处 | Simulation 92 (3): 251-266 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | There are a limited number of initial refueling stations for AFVs (alternative-fuel vehicles). With different layouts for these initial refueling stations, potential AFV adopters will have different concerns regarding the availability of refueling facilities, which will result in different starting points for the diffusion of AFVs. This paper explores the issue of optimizing layouts of initial AFV refueling stations to provide a better starting point for the diffusion of AFVs. This paper first puts forward the optimization models in terms of minimizing drivers’ total concern in two situations: in the first situation, the number of initial AFV refueling stations is fixed, and in the second situation, the number of initial AFV refueling stations is flexible within a certain scope. The paper then introduces a genetic algorithm to find nearly optimal solutions for the optimization models. Finally, experiments are conducted with agent-based simulations for the case of Shanghai, which shows that the close-to-optimal layouts generated using the models can promote the diffusion of AFVs. |
| 主题 | Transitions to New Technologies (TNT) |
| 关键词 | Layout alternative-fuel vehicle agent-based simulations genetic algorithm |
| URL | http://pure.iiasa.ac.at/id/eprint/12308/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130751 |
| 推荐引用方式 GB/T 7714 | Zhao J,Ma T. Optimizing layouts of initial refueling stations for alternative-fuel vehicles and experiments with agent-based simulations.. 2016. |
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