A PSO Methahuristic for Origin-Destination Matrix Estimation Problem
Publish place: 9th International Congress on Civil Engineering
Publish Year: 1391
Type: Conference paper
Language: English
View: 1,964
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
ICCE09_1304
Index date: 28 September 2012
A PSO Methahuristic for Origin-Destination Matrix Estimation Problem abstract
Information on the origin-destination (OD) demands through a transportation system is an important input in many areas of operational analysis and planning. The high cost of manpower associated with surveying methods of obtaining OD matrices have motivated the development of models and methods that can estimate these matrices from easily available traffic flows. In the last years the OD matrix estimation problem (ODMEP) based on traffic counts has been formulated as bilevel programming models. Although the conventional methods of optimization can theoretically reach to the exact solution of the problem, they have some computational difficulties that prevent them from being applicable in real-case problems with too many O-D pairs. In this paper, to cope with the limits of the conventional methods, a PSO metaheuristic is employed to solve the ODMEP. Computational results on a sample networks are presented to evaluate the PSO method against the widely used optimization method of gradient
A PSO Methahuristic for Origin-Destination Matrix Estimation Problem Keywords:
A PSO Methahuristic for Origin-Destination Matrix Estimation Problem authors
Abbas Babazadeh
Assistant professor, School of Civil Engineering, University of Tehran, Tehran
Mehrdad Gholami Shahbandi
M.Sc. student, School of Civil Engineering, University of Tehran, Tehran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :