An agent-based training system for optimizing the layout of AFVs' initial filling stations

Ma T, Zhao J, Xiang S, Zhu Y, & Liu P (2014). An agent-based training system for optimizing the layout of AFVs' initial filling stations. Journal of Artificial Societies and Social Simulation 17 (4): p. 6.

[img]
Preview
Text
An agent-based training system for optimizing the layout of AFVs' initial filling stations.pdf - Published Version
Available under License Creative Commons Attribution.

Download (506kB) | Preview

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Training System, Optimal Layout, Alternative Fuel Vehicles, Filling Stations
Research Programs: Transitions to New Technologies (TNT)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:50
Last Modified: 09 Jun 2017 10:52
URI: http://pure.iiasa.ac.at/10766

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313