یک رویکرد جدید برای مسیریابی اتوبوس مدرسه با استفاده از الگوریتم بهینه‌ساز کوسه سفید
الموضوعات : سامانه‌های پردازشی و ارتباطی چندرسانه‌ای هوشمندمحمد سالمی فر 1 , محمدرضا محمدرضائی 2
1 - کارشناسی ارشد، گروه مهندسی کامپیوتر، واحد بردسیر، دانشگاه آزاد اسلامی، بردسیر، ایران
2 - استادیار، گروه مهندسی کامپیوتر، واحد رامهرمز، دانشگاه آزاد اسلامی، رامهرمز، ایران
الکلمات المفتاحية: SBRP, مسیریابی اتوبوس مدرسه, الگوریتم بهینه‌ساز کوسه سفید,
ملخص المقالة :
مسئله مسیریابی اتوبوس مدرسه (SBRP) چالش پیچیدهای در حمل‌ونقل است که شامل یافتن مسیرهای اتوبوس بهینه است. پرداختن به مسائل اضطراری مانند افزایش بار ترافیک، جمعیت بالای دانش‌آموزان، کمبود منابع، ایمنی و خطرات می‌تواند نقش اساسی در طراحی یک برنامه کارآمد برای سیستم حمل‌ونقل دانش‌آموزی داشته باشد. اهمیت این موضوع زمانی برجسته می‌شود که نیازها و انتظارات همه ذینفعان از جمله دانش‌آموزان، بخش خصوصی و شهرداری‌ها درنظرگرفته شوند. هدف SBRP طراحی مسیرهایی برای ناوگان اتوبوس مدرسه است که دانش‌آموزان را در یک سری از ایستگاه‌های اتوبوس از پیش تعریف‌شده سوارمی‌کند و آن‌ها را در مدرسه پیاده می‌کند. این مسئله به‌عنوان NP-Hard شناخته می‌شود؛ بنابراین پرداختن به مسئله مسیریابی اتوبوس مدرسه برای اطمینان از راه‌حل ایمن و مقرون‌به‌صرفه برای دانش‌آموزان، والدین و ذینفعان مهم است. بااین حال، چالش‌هایی از نظر محدودیت‌ها و اهداف متعدد وجوددارد. در این مقاله، مسئله مسیریابی اتوبوس مدرسه به‌عنوان مسئله بهینه‌سازی فرموله شده است. برای حل این مسئله از الگوریتم بهینه‌ساز کوسه سفید استفاده شده است. روش پیشنهادی در شبیه‌ساز متلب اجرا شده است. تعداد دانش‌آموز، 100 در نظر گرفته شده است. تعداد اتوبوس، 7 اتوبوس و تعداد مدرسه، 5 مدرسه است. معیارهای ارزیابی شامل مجموع فواصل حرکت سرویس‌های مدارس، میانگین زمان رفت‌وآمد دانش‌آموزان، کل زمان سفر و مطلوبیت مسیریابی بوده‌اند. روش پیشنهادی توانسته است معیارهای ارزیابی را نسبت به طرح پایه مبتنی بر الگوریتم ژنتیک و روش مبتنی بر الگوریتم مورچگان بهبوددهد.
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