Dynamic timetable scheduling with reverse-flow technique in fuzzy environment

Joint International Conference on Soft Computing and Intelligent Systems SCIS and International Symposium on Advanced Intelligent Systems ISIS, pp. 1-6, 2017.

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Abstract:

In the management of public transportation systems, timetable scheduling seeks to adjust vehicle departure times to the dynamic passenger flow, to provide high quality service, and to optimize the use of limited resources. A new method of timetable scheduling in a fuzzy environment with improved reverse-flow, which optimizes over all bus ...More

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