Research on Gas Station Selection Support System with Given Refueling Volume

Qing Hua Zhang; Ning Ning Xiu; Guo Quan Cheng; Zhuan Wang

doi:10.4028/www.scientific.net/AMR.424-425.756

Paper Titles

Flow Control Strategy for Novel Layered Synchronous Water Injection Technology in Oilfield
p.737

Synthesis of Li_0.8Zn_1.1PO₄ and its Selectivity to Li⁺Exchange
p.742

Research on Inverter Fault Detection and Diagnosis
p.746

Sewage Anti-Blocking Machine Principle and Double-Stage Pump Technology
p.751

Research on Gas Station Selection Support System with Given Refueling Volume
p.756

A Fast Image Encryption by Bit-Chaotic-Shuffle Based on Chaotic Systems
p.761

Laser-Induced Electroless Copper Deposition on Modified Plastic Surface
p.765

Cost-Effective Energy Recovery Circuit for Plasma Display
p.770

Analysis on Peeping Image Enhancement of Coal Mine Borehole Based on Wavelet Packet Decomposition
p.773

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425Research on Gas Station Selection Support System...

Research on Gas Station Selection Support System with Given Refueling Volume

Abstract:

In order to help vehicle users to save fuel cost, combining the refueling with transportation task, this paper provided a scientific solution of gas station selection during transportation task. Considering users’ personalized requirements, gasoline price, etc, this paper established a multi-objective decision-making model based on the aims of the shortest distance and minimum cost of given refueling volume. The model can be resolved by the algorithm designed. In order to improve its practical applicability, a visual decision support system which can show the gas station selected and route had been developed based on GIS. This system can provide selection of gas station which meets user’s personalized requirements and make the objective function optimal

You might also be interested in these eBooks

Advanced Research on Engineering Materials, Energy, Management and Control

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

756-760

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.756

Citation:

Cite this paper

Online since:

January 2012

Authors:

Qing Hua Zhang, Ning Ning Xiu, Guo Quan Cheng, Zhuan Wang

Keywords:

Gas Station Selection, GIS, Multi-Objective Decision, Refueling

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Haikun Wang, Lixin Fu, Yu Zhou, He Li: Modelling of the fuel consumption for passenger cars regarding driving characteristics. Transportation Research Part D: Transport and Environment, pp.479-482(2008).

DOI: 10.1016/j.trd.2008.09.002

Google Scholar

[2] Shaheen; S.A. and T.E. Lipman: Reducing Greenhouse Emissions and Fuel Consumption: Sustainable Approaches for Surface Transportation. IATSS Research, pp.6-20(2007).

DOI: 10.1016/s0386-1112(14)60179-5

Google Scholar

[3] Peng Yong, Wang Xiaofeng: Research on a Vehicle Routing Schedule to Reduce Fuel Consumption. International Conference on Measuring Technology and Mechatronics Automation, pp.825-827(2009).

DOI: 10.1109/icmtma.2009.11

Google Scholar

[4] Yager, R.R.: Multiple objective decision-making using fuzzy sets. International Journal of Man-Machine Studies, pp.375-382(1977).

DOI: 10.1016/s0020-7373(77)80008-4

Google Scholar

[5] E. L. Ulungu, J. Teghem: Multi-objective combinatorial optimization problems: A survey. Journal of Multi-Criteria Decision Analysis, pp: 83-104(1994).

DOI: 10.1002/mcda.4020030204

Google Scholar

[6] W. ZENG, R. L. CHURCH: Finding shortest paths on real road networks: the case for A. International Journal of Geographical Information Science, pp: 531-543(2009).

DOI: 10.1080/13658810801949850

Google Scholar

[7] Wim Pijls, Henk Post: Note on A new bidirectional algorithm for shortest paths,. European Journal of Operational Research, pp: 1140-1141(2010).

DOI: 10.1016/j.ejor.2010.06.003

Google Scholar