A Bayesian Stochastic Kriging Optimization Model Dealing with Heteroscedastic Simulation Noise for Freeway Traffic Management-Reference-Cited by-同舟云学术

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A Bayesian Stochastic Kriging Optimization Model Dealing with Heteroscedastic Simulation Noise for Freeway Traffic Management

Published:2019-03 Issue:2 Volume:53 Page:545-565
ISSN:0041-1655
Container-title:Transportation Science
language:en
Short-container-title:Transportation Science

Author:

Chen Xiqun (Michael)¹^ORCID,He Xiang²,Xiong Chenfeng³,Zhu Zheng³,Zhang Lei³

Affiliation:

1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China

2. International Aviation Division, Institute of Air Transport China Academy of Civil Aviation Science and Technology, Beijing 100028, China

3. Department of Civil and Environmental Engineering, University of Maryland, College Park, Maryland 20742

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Transportation,Civil and Structural Engineering

Reference57 articles.

1. Stochastic Kriging for Simulation Metamodeling

2. Investigating the Impact of Tolls on High-Occupancy-Vehicle Lanes Using Managed Lanes

3. Game-Theoretic Formulations of Interaction Between Dynamic Traffic Control and Dynamic Traffic Assignment

4. The effects of common random numbers on stochastic kriging metamodels

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4. Simulation-Based Robust and Adaptive Optimization Method for Heteroscedastic Transportation Problems;Transportation Science;2024-07

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