کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6893046 | 699348 | 2014 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A hierarchical optimization problem: Estimating traffic flow using Gamma random variables in a Bayesian context
ترجمه فارسی عنوان
یک مشکل بهینه سازی سلسله مراتبی: برآورد جریان ترافیک با استفاده از متغیرهای تصادفی گاما در یک زمینه بیزی
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
In this paper a hierarchical optimization problem generated by a Bayesian method to estimate origin-destination matrices, based on Gamma models, is given. The problem can be considered as a system of equations in which three of them are optimization problems: (1) a Wardrop minimum variance (WMV) assignment model, which is used to derive the route choice probabilities, (2) a least squares problem, used to obtain the OD sample data, and (3) a maximum likelihood problem to estimate the posterior modes. A multi-level iterative approach is proposed to solve the multi-objective problem that converges in a few iterations. Finally, two examples of applications are used to illustrate the proposed methods and procedures, a simple and the medium size Ciudad Real networks. A comparison with existing techniques, which provide similar flows, seems to validate the proposed methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 41, January 2014, Pages 240-251
Journal: Computers & Operations Research - Volume 41, January 2014, Pages 240-251
نویسندگان
Enrique Castillo, José MarÃa Menéndez, Santos Sánchez-Cambronero, Aida Calviño, José MarÃa Sarabia,