다수단 가변수요 통행배정문제를 위한 부분선형화 알고리즘의 성능비교A Performance Comparison of the Partial Linearization Algorithm for the Multi-Mode Variable Demand Traffic Assignment Problem
- Other Titles
- A Performance Comparison of the Partial Linearization Algorithm for the Multi-Mode Variable Demand Traffic Assignment Problem
- Authors
- 박태형; 이상건
- Issue Date
- Aug-2013
- Publisher
- 대한산업공학회
- Keywords
- Multi-Mode Variable Demand Traffic Assignment; Korea Transport Database; Partial Linearization Algorithm; Mode-Choice Analysis
- Citation
- 대한산업공학회지, v.39, no.4, pp.253 - 259
- Journal Title
- 대한산업공학회지
- Volume
- 39
- Number
- 4
- Start Page
- 253
- End Page
- 259
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/11758
- DOI
- 10.7232/JKIIE.2013.39.4.253
- ISSN
- 1225-0988
- Abstract
- Investment scenarios in the transportation network design problem usually contain installation or expansion of multi-mode transportation links. When one applies the mode choice analysis and traffic assignment sequentially for each investment scenario, it is possible that the travel impedance used in the mode choice analysis is different from the user equilibrium cost of the traffic assignment step. Therefore, to estimate the travel impedance and mode choice accurately, one needs to develop a combined model for the mode choice and traffic assignment. In this paper, we derive the inverse demand and the excess demand functions for the multi-mode multinomial logit mode choice function and develop a combined model for the multi-mode variable demand traffic assignment problem. Using data from the regional O/D and network data provided by the KTDB, we compared the performance of the partial linearization algorithm with the Frank-Wolfe algorithm applied to the excess demand model and with the sequential heuristic procedures.
- Files in This Item
-
Go to Link
- Appears in
Collections - College of Engineering > Department of Industrial & Information Systems Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/11758)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.