کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
286438 509476 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Combinatorial auctions of railway track capacity in vertically separated freight transport markets
ترجمه فارسی عنوان
مزایده ترکیبی از ظرفیت مسیر راه آهن در بازارهای حمل و نقل به صورت عمودی جدا شده
کلمات کلیدی
مزایده ترکیبی؛ بازارهای لحظه ای؛ حمل و نقل باربری چند وجهی؛ حمل و نقل ریلی؛ برنامه ریزی پایگاه خدمات آموزش
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Forms shuttle train services that minimize total shipment delay and operating costs.
• Proposes combinatorial auction framework to allocate track capacity to carriers.
• Proposes efficient bid set construction approach.
• Allow simultaneous bidding on multiple train slots.
• Winner determination problem given that accommodates multiple bidding languages.

This paper addresses the problem of allocating residual track capacity among multiple competing carriers where infrastructure ownership and train operations are vertically separated to facilitate delivery by train. Two bid set construction techniques are proposed that allow carriers to fully express their preferences for track usage. Both techniques enable the expression of complementary or substitutable relationships among the train slots constructed along predetermined train routes and permit quick configuration of routes from residual track capacity along which new trains can be operated. A winner determination problem that simultaneously accommodates bidding languages of both bid set construction techniques is used to generate an optimal capacity allocation among bidders based on different bidding strategies. Results of computational experiments designed to illustrate the efficiency of the proposed bid construction technique and effectiveness of the framework are presented.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Rail Transport Planning & Management - Volume 5, Issue 1, May 2015, Pages 1–11
نویسندگان
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