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FUZZY TRAIN ENERGY CONSUMPTION MINIMIZATION MODEL AND ALGORITHM | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 6، دوره 8، شماره 4، دی 2011، صفحه 77-91 اصل مقاله (362.03 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2011.309 | ||
| نویسندگان | ||
| Xiang Li* 1؛ Dan Ralescu2؛ Tao Tang1 | ||
| 1State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiao- tong University, Beijing 100044, China | ||
| 2Department of Mathematical Sciences, University of Cincinnati, Cincin- nati, Ohio 45221, USA | ||
| چکیده | ||
| Train energy saving problem investigates how to control train's velocity such that the quantity of energy consumption is minimized and some system constraints are satis ed. On the assumption that the train's weights on different links are estimated by fuzzy variables when making the train scheduling strategy, we study the fuzzy train energy saving problem. First, we propose a fuzzy energy consumption minimization model, which minimizes the average value and entropy of the fuzzy energy consumption under the maximal allowable velocity constraint and traversing time constraint. Furthermore, we analyze the properties of the optimal solution, and then design an iterative algorithm based on the Karush-Kuhn-Tucker conditions. Finally, we illustrate a numerical example to show the effectiveness of the proposed model and algorithm. | ||
| کلیدواژهها | ||
| Energy consumption؛ Train scheduling؛ Karush-Kuhn-Tucker condi- tions؛ Fuzzy variable | ||
| مراجع | ||
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