SOLVING BEST PATH PROBLEM ON MULTIMODAL TRANSPORTATION NETWORKS WITH FUZZY COSTS
Publish place: Iranian Journal of Fuzzy Systems، Vol: 7، Issue: 3
Publish Year: 1389
نوع سند: مقاله ژورنالی
زبان: English
View: 163
This Paper With 13 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJFS-7-3_002
تاریخ نمایه سازی: 31 خرداد 1401
Abstract:
Numerous algorithms have been proposed to solve the shortest-pathproblem; many of them consider a single-mode network and crispcosts. Other attempts have addressed the problem of fuzzy costs ina single-mode network, the so-called fuzzy shortest-path problem(FSPP). The main contribution of the present work is to solve theoptimum path problem in a multimodal transportation network, inwhich the costs of the arcs are fuzzy values. Metropolitantransportation systems are multimodal in that they usually containmultiple modes, such as bus, metro, and monorail. The proposedalgorithm is based on the path algebra and dioid of k-shortestfuzzy paths. The approach considers the number of mode changes,the correct order of the modes used, and the modeling of two-waypaths. An advantage of the method is that there is no restrictionon the number and variety of the services to be considered. Totrack the algorithm step by step, it is applied to apseudo-multimodal network.
Keywords:
Authors
Ali Golnarkar
Department of GIS Engineering, K. N. Toosi University of Technology, ValiAsr Street, Mirdamad cross, P.C. ۱۹۹۶۷-۱۵۴۳۳, Tehran, Iran
Ali Asghar Alesheikh
Department of GIS Engineering, K. N. Toosi University of Technology, ValiAsr Street, Mirdamad cross, P.C. ۱۹۹۶۷-۱۵۴۳۳, Tehran, Iran
Mohamad Reza Malek
Department of GIS Engineering, K. N. Toosi University of Technology, ValiAsr Street, Mirdamad cross, P.C. ۱۹۹۶۷-۱۵۴۳۳, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :