کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6749636 | 1430604 | 2017 | 24 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
System optimal re-routing transit assignment heuristic: A theoretical framework and large-scale case study
ترجمه فارسی عنوان
سیستم بهینه مسیریابی مجاز حمل و نقل اکتشافی: یک چارچوب نظری و مطالعات موردی در مقیاس بزرگ
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کلمات کلیدی
شبکه های حمل و نقل، تخصیص حمل و نقل، سیستم بهینه، مدیریت تقاضا،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
چکیده انگلیسی
Traditionally, transit network assignment is modelled based on the user equilibrium principle, according to which individual passengers are assumed to select paths that minimize their travel disutility. Models that follow this principle result in sub-optimal system performance when the transit lines become overcrowded. This study presents a new framework for the transit assignment problem to address the system performance of an overcrowded transit network while integrating individual travel needs. It proposes a novel approach, called System Optimal Re-Routing Transit Assignment Heuristic (SORTAH), which produces a user-constrained system optimal solution by reducing the number of overcrowded segments and spreading out the demand to better utilize routes that are under capacity. SORTAH minimizes the overall congestion effects of a transit network and leads to a better performing solution than that of a user equilibrium model, while simultaneously guaranteeing superior fairness compared to the pure system optimal model. A large-scale real-world application was conducted on the Toronto Transit Commission (TTC) network. SORTAH was capable of reducing the number of overcrowded routes on the TTC network without adversely affecting the total travel time. Critical systemic gaps that need to be addressed in order to reduce the overall network congestion were uncovered. The study also revealed that realistic passenger paths are bounded by existing network design and capacity.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Transportation Science and Technology - Volume 6, Issue 4, December 2017, Pages 287-300
Journal: International Journal of Transportation Science and Technology - Volume 6, Issue 4, December 2017, Pages 287-300
نویسندگان
Landy L. Cheung, Amer S. Shalaby,