دانلود مقاله ISI انگلیسی شماره 6642
عنوان فارسی مقاله

نارسایی ازدحام مربوط به برآورد روش و مدل در شبکه های حمل و نقل

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
6642 2013 15 صفحه PDF سفارش دهید 8130 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
The related congestion failure estimating methodology and model in transportation networks
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Physica A: Statistical Mechanics and its Applications, Available online 30 May 2013

کلمات کلیدی
- قابلیت اطمینان - مفصل - نارسایی تراکم
پیش نمایش مقاله
پیش نمایش مقاله نارسایی ازدحام مربوط به برآورد روش و مدل در شبکه های حمل و نقل

چکیده انگلیسی

Previous works about the probability-based transportation networks evaluation method mainly focus on the static reliability evaluation, they ascribe the stochastic of the travel time to the external long time factors (the traffic supply or the traffic demand). Under this situation, the link’s travel time related relationship can be inferred, and it is efficacious for planners or engineers to make a decision for a long time. Even though some evaluation methodologies about transportation networks’ real-time travel time reliability has been presented, these works assume that the link’s travel time is independent. In this paper we relax this assumption. Using the Gauss copula theory, we present a new method to evaluate the transportation networks’ real-time travel time reliability. The results show that it will overestimate the route or the networks’ travel time reliability when not considering the link’s travel time. Not only that, we deep the static reliability evaluation model to the dynamic, and present the link and net congestion failure evaluation model. Estimations from the model are compared to field-measured data. It shows that, under the error interval ±±2 times, the link congestion failure model accuracy rate is above 90.3%, under the error interval ±±0.05; the net congestion failure model accuracy rate is above 95%.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.