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Title: Resilience-based Recovery Scheduling of Transportation Network in Mixed Traffic Environment: A Deep-Ensemble-Assisted Active Learning Approach

Authors:
;
Publication Date:
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1788096
Grant/Contract Number:  
EE0008468
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Reliability Engineering and System Safety
Additional Journal Information:
Journal Name: Reliability Engineering and System Safety Journal Volume: 215 Journal Issue: C; Journal ID: ISSN 0951-8320
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Zou, Qiling, and Chen, Suren. Resilience-based Recovery Scheduling of Transportation Network in Mixed Traffic Environment: A Deep-Ensemble-Assisted Active Learning Approach. United Kingdom: N. p., 2021. Web. doi:10.1016/j.ress.2021.107800.
Zou, Qiling, & Chen, Suren. Resilience-based Recovery Scheduling of Transportation Network in Mixed Traffic Environment: A Deep-Ensemble-Assisted Active Learning Approach. United Kingdom. https://doi.org/10.1016/j.ress.2021.107800
Zou, Qiling, and Chen, Suren. Mon . "Resilience-based Recovery Scheduling of Transportation Network in Mixed Traffic Environment: A Deep-Ensemble-Assisted Active Learning Approach". United Kingdom. https://doi.org/10.1016/j.ress.2021.107800.
@article{osti_1788096,
title = {Resilience-based Recovery Scheduling of Transportation Network in Mixed Traffic Environment: A Deep-Ensemble-Assisted Active Learning Approach},
author = {Zou, Qiling and Chen, Suren},
abstractNote = {},
doi = {10.1016/j.ress.2021.107800},
journal = {Reliability Engineering and System Safety},
number = C,
volume = 215,
place = {United Kingdom},
year = {2021},
month = {11}
}

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