Bayesian optimization for congestion pricing problems: A general framework and its instability-Reference-Cited by-同舟云学术

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Bayesian optimization for congestion pricing problems: A general framework and its instability

Published:2023-03 Issue: Volume:169 Page:1-28
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Huo Jinbiao,Liu Zhiyuan,Chen Jingxu,Cheng Qixiu^ORCID,Meng Qiang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference97 articles.

1. The cost of congestion and the benefits of congestion pricing: a general equilibrium analysis;Anas;Transp. Res. Part B: Methodol.,2020

2. Nonlinear Programming: Theory and Algorithms;Bazaraa,2013

3. Beckmann, M., Mcguire, C.B. & Winsten, C.B. (1956) Studies in the economics of transportation. New Haven, CT.

4. Regression Diagnostics: Identifying influential Data and Sources of Collinearity;Belsley,2005

5. Preconditioning techniques for large linear systems: a survey;Benzi;J. Comput. Phys.,2002

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