| 来源类型 | Article
|
| 规范类型 | 其他
|
| An agent-based training system for optimizing the layout of AFVs' initial filling stations. |
| Ma T; Zhao J; Xiang S; Zhu Y; Liu P
|
| 发表日期 | 2014
|
| 出处 | Journal of Artificial Societies and Social Simulation 17 (4): p. 6.
|
| 出版年 | 2014
|
| 语种 | 英语
|
| 摘要 | The availability of refuelling locations for alternative fuel vehicles (AFVs) is an important factor that drivers consider before adopting an AFV; thus, the layout of initial filling stations for AFVs will influence the adoption of AFVs. This paper presents a training system for optimising the layout of initial filling stations for AFVs by linking an agent-based model of the adoption of AFVs with a real city/area's road network, as well as the city/area's social and economic background. In the agent-based model, two types of agents (driver agents and station owner agents) interact with each other in a city/area's road network, stored in a GIS (Geographic Information System). With simulation scenario analyses and a genetic algorithm, the training system presented in this paper can help decision makers determine close-to-optimal layouts for initial AFV filling stations. This paper also presents case study of the application of the training system that analyses the layout of fast-charging or battery-changing stations for the promotion of electric vehicles adoption in Shanghai. |
| 主题 | Transitions to New Technologies (TNT)
|
| 关键词 | Training System, Optimal Layout, Alternative Fuel Vehicles, Filling Stations
|
| URL | http://pure.iiasa.ac.at/id/eprint/10766/
|
| 来源智库 | International Institute for Applied Systems Analysis (Austria)
|
| 资源类型 | 智库出版物
|
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/129879
|
推荐引用方式
GB/T 7714 |
Ma T,Zhao J,Xiang S,et al. An agent-based training system for optimizing the layout of AFVs' initial filling stations.. 2014.
|
|
文件名：
|
An%20agent-based%20training%20system%20for%20optimizing%20the%20layout%20of%20AFVs%27%20initial%20filling%20stations.pdf
|
|
格式：
|
Adobe PDF
|
此文件暂不支持浏览
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
