JSW 2014 Vol.9(3): 627-633 ISSN: 1796-217X
doi: 10.4304/jsw.9.3.627-633
doi: 10.4304/jsw.9.3.627-633
Layout of Gas Station Based on Multi-Agent Simulation
Qing Zhou1, Chaorui Bu1, Yuwen Feng2
1School of Business Administration, China University of Petroleum-Beijing, Beijing, 102249, China
2General Office, China National Petroleum Corporation, Beijing, 100007, China
Abstract—Owing to the unreasonable layout problem and the excessive number of gas station in some regions of China, this paper attempts to discuss the principle of rationality and related factors for the gas station layout. In determining the relationship between the number of stations and motor vehicle demand, this paper simulates the vehicle’s selection of price by using Starlogo simulation platform. While it focuses on researching the traffic flow density and the impact of the consumer price preferences, and analyzing the influence of the station network layout because of price changing. Finally, it attempts to provide a reference for the relevant decision-making.
Index Terms—Multi-Agent Simulation; Complex Adaptive System; Starlogo; Layout of Gas Station
2General Office, China National Petroleum Corporation, Beijing, 100007, China
Abstract—Owing to the unreasonable layout problem and the excessive number of gas station in some regions of China, this paper attempts to discuss the principle of rationality and related factors for the gas station layout. In determining the relationship between the number of stations and motor vehicle demand, this paper simulates the vehicle’s selection of price by using Starlogo simulation platform. While it focuses on researching the traffic flow density and the impact of the consumer price preferences, and analyzing the influence of the station network layout because of price changing. Finally, it attempts to provide a reference for the relevant decision-making.
Index Terms—Multi-Agent Simulation; Complex Adaptive System; Starlogo; Layout of Gas Station
Cite: Qing Zhou, Chaorui Bu, Yuwen Feng, "Layout of Gas Station Based on Multi-Agent Simulation," Journal of Software vol. 9, no. 3, pp. 627-633, 2014.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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