The deviation-flow refueling location model for optimizing a network of refueling stations
The deviation-flow refueling location model for optimizing a network of refueling stations
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DOI：
10.1016/j.ijhydene.2011.08.108
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发表时间：
2012-03
影响因子：
7.2
通讯作者：
Jong Geun Kim;M. Kuby
中科院分区：
文献类型：
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作者：
Jong Geun Kim;M. Kuby
本研究开发并应用了一种混合整数线性规划模型，该模型不仅考虑了车辆的有限行驶里程，而且考虑了当加油站网络稀疏时，驾驶员可能从其最短路径进行加油的必要偏差，从而优化了加油站的位置。偏离流加油位置模型（DFRLM）定位设施以最大化偏离路径上的加油总流量。假设车站捕获的流量需求随着驾驶员必须做出的偏差的增加而减少。试验结果表明，最大允许偏差和特定偏差惩罚函数形式对设施的最优位置和目标函数值有明显的影响。
This research develops and applies a mixed-integer linear programming model that optimizes the locations of fueling stations considering not only the limited driving range of vehicles but also the necessary deviations that drivers are likely to make from their shortest paths in order to refuel their vehicles when the refueling station network is sparse. The Deviation-Flow Refueling Location Model (DFRLM) locates facilities to maximize the total flows refueled on deviation paths. The flow demand captured by the stations is assumed to decrease as the deviation that drivers must make increases. Test results indicate that the maximum allowable deviation and the specific deviation penalty functional form do have a measurable effect on the optimal locations of facilities and objective function values as well.