TY - GEN
T1 - Hybrid Simulation to Support Interdependence Modeling of a Multimodal Transportation Network
AU - Bipasha, Tarana
AU - Azucena, Jose
AU - Alkhaleel, Basem
AU - Liao, Haitao
AU - Nachtmann, Heather
N1 - Funding Information:
This work was supported by the U.S. National Science Foundation under Grant No. CMMI–1745353.
Funding Information:
HAITAO LIAO is a Professor, and John and Mary Lib White Endowed Systems Integration Chair in the Department of Industrial Engineering at University of Arkansas - Fayetteville. He received a Ph.D. in Industrial and Systems Engineering from Rutgers University in 2004. His research has been sponsored by the U.S. National Science Foundation, Department of Energy, Nuclear Regulatory Commission, Oak Ridge National Laboratory, and industry. The research findings of his group have been published in IISE Transactions, European Journal of Operational Research, Naval Research Logistics, IEEE Transactions on Reliability, IEEE Transactions on Cybernetics, The Engineering Economist, Reliability Engineering & System Safety, etc. In 2014, he served as Chair of INFORMS Quality, Statistics and Reliability (QSR) Section, and President of IISE Quality Control and Reliability Engineering (QCRE) Division. He served as Associate Editor for Journal of Quality Technology and IEEE Transactions on Reliability, and currently serves as Associate Editor for IISE Transactions on Quality and Reliability Engineering. He received the U.S. National Science Foundation CAREER Award in 2010, the IISE QCRE William A.J. Golomski Award for three times, 2013 QCRE Track Best Paper Award, Stan Ofsthun Best Paper Awards in 2015 and 2019, and the prestigious 2017 Alan O. Plait Award for Tutorial Excellence. His email address is [email protected].
Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The inland waterways in the United States (U.S.) are used to transport approximately 20% of America's coal, 22% of U.S. petroleum products, and 60% of farm exports making these waterways a significant contributor to the U.S. multimodal transportation system. In this study, data about natural extreme events affecting inland waterways are collected and used to predict possible occurrences of such events in the future using a spatio-temporal statistical model. We also investigate the waterways disruptions effect on interconnected transportation systems using a simulation tool built on a statistical model. The developed methods are centered on inland waterways but can be used broadly for other local, regional and national infrastructures. A case study based on the Mississippi River and the McClellan-Kerr Arkansas River Navigation System (MKARNS) is provided to illustrate the use of the simulation tool in interdependence modeling and decision making for the operation of a multimodal transportation network.
AB - The inland waterways in the United States (U.S.) are used to transport approximately 20% of America's coal, 22% of U.S. petroleum products, and 60% of farm exports making these waterways a significant contributor to the U.S. multimodal transportation system. In this study, data about natural extreme events affecting inland waterways are collected and used to predict possible occurrences of such events in the future using a spatio-temporal statistical model. We also investigate the waterways disruptions effect on interconnected transportation systems using a simulation tool built on a statistical model. The developed methods are centered on inland waterways but can be used broadly for other local, regional and national infrastructures. A case study based on the Mississippi River and the McClellan-Kerr Arkansas River Navigation System (MKARNS) is provided to illustrate the use of the simulation tool in interdependence modeling and decision making for the operation of a multimodal transportation network.
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U2 - 10.1109/WSC40007.2019.9004813
DO - 10.1109/WSC40007.2019.9004813
M3 - Conference contribution
AN - SCOPUS:85081115759
T3 - Proceedings - Winter Simulation Conference
SP - 1390
EP - 1401
BT - 2019 Winter Simulation Conference, WSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Winter Simulation Conference, WSC 2019
Y2 - 8 December 2019 through 11 December 2019
ER -