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Title: Does LUCE Outperform OBA? Comparison Study of Two Bush-Based Algorithms for Traffic Assignment Problem
Accession Number: 01478679
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: This paper compares two bush-based traffic assignment algorithms, the origin-based algorithm (OBA) and the local user cost equilibrium algorithm (LUCE). The two algorithms are closely related with only one major difference: they solve the decomposed elementary node-based subproblem using different methods. Specifically, LUCE employs a greedy algorithm that is able to solve the subproblem exactly, whereas OBA uses a one-step quasi-Newton method known as gradient projection to solve the subproblem approximately. Therefore, LUCE seems to hold promises to improve OBA because its subproblem solver is presumably faster and more precise. Numerical experiments reported in this paper, however, indicate that LUCE not only provides no obvious computational advantages over OBA, it often fails to converge beyond a certain point. The focus of this paper is to find an answer to this counter-intuitive phenomenon. Our analysis suggests that the greedy method used by LUCE require highly accurate estimation of second-order derivatives. When second-order derivatives are subject to large errors, the greedy method can provide consistently sub-optimal descent direction, which it has no mechanism to fix.
Supplemental Notes: This paper was sponsored by TRB committee ADB30(2) Network Equilibrium Modeling.
Monograph Title: Monograph Accession #: 01470560
Report/Paper Numbers: 13-5174
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Xie, JunNie, Yu (Marco)Yang, XiaoguangPagination: 15p
Publication Date: 2013
Conference:
Transportation Research Board 92nd Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I21: Planning of Transport Infrastructure; I70: Traffic and Transport
Source Data: Transportation Research Board Annual Meeting 2013 Paper #13-5174
Files: PRP, TRIS, TRB, ATRI
Created Date: Feb 5 2013 12:59PM
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