A New School Bus Routing Problem Considering Gender Separation, Special Students and Mix Loading: A Genetic Algorithm Approach
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 406
This Paper With 17 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JOIE-14-2_003
تاریخ نمایه سازی: 17 فروردین 1400
Abstract:
In developing countries, whereas the urban bus network is a major part of public transportation system, it is necessary to try to find the best design and routing for bus network. Optimum design of school bus routes is very important. Non-optimal solutions for this problem may increase traveling time, fuel consumption, and depreciation rate of the fleet. A new bus routing problem is presented in this study. A multi-objective mixed integer model is proposed to handle the associated problem. Minimization of transportation cost as well as traveling time is the main objectives. The main contributions of this paper are considering gender separation as well as mixed-loading properties in the school bus routing problem. Moreover, special and handicapped students are considered in this problem. The proposed model is applied in a real case study including 4 schools in Tehran. The results indicate the efficiency of the proposed model in comparison with the existing system. This comparison shows that the students’ travelling time is reduced by 28% for Peyvand middle smart school, 24% for Tehran international school, 13% for Hemmat School and 21% for Nikan High school. A customized Genetic Algorithm (GA) is proposed to solve the model. Penalty functions are used to handle the several constraints of the problem in Genetic Algorithm. The results justify the applicability and efficacy of the both proposed model and solution approach.
Keywords:
School bus routing problem , mixed integer mathematical programming , Genetic Algorithm , Gender separation , Mix loading
Authors
Alireza Rashidi Komijan
Department of Industrial Engineering Firoozkooh Branch Islamic Azad University Firoozkooh, Iran
Peiman Ghasemi
Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Kaveh Khalili-Damghani
Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran
Fakhrosadat HashemiYazdi
Department of Industrial Management,Faculty of Management and Accounting, Allame Tabatabai University, 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 :