A Time-Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion
Joint Authors
Sun, Yan
Lang, Maoxiang
Hrušovský, Martin
Zhang, Chen
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-24
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
This study explores an operational-level container routing problem in the road-rail multimodal service network.
In response to the demand for an environmentally friendly transportation, we extend the problem into a green version by using both emission charging method and bi-objective optimization to optimize the CO2 emissions in the routing.
Two uncertain factors, including capacity uncertainty of rail services and travel time uncertainty of road services, are formulated in order to improve the reliability of the routes.
By using the triangular fuzzy numbers and time-dependent travel time to separately model the capacity uncertainty and travel time uncertainty, we establish a fuzzy chance-constrained mixed integer nonlinear programming model.
A linearization-based exact solution strategy is designed, so that the problem can be effectively solved by any exact solution algorithm on any mathematical programming software.
An empirical case is presented to demonstrate the feasibility of the proposed methods.
In the case discussion, sensitivity analysis and bi-objective optimization analysis are used to find that the bi-objective optimization method is more effective than the emission charging method in lowering the CO2 emissions for the given case.
Then, we combine sensitivity analysis and fuzzy simulation to identify the best confidence value in the fuzzy chance constraint.
All the discussion will help decision makers to better organize the green multimodal transportation.
American Psychological Association (APA)
Sun, Yan& Hrušovský, Martin& Zhang, Chen& Lang, Maoxiang. 2018. A Time-Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion. Complexity،Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1136298
Modern Language Association (MLA)
Sun, Yan…[et al.]. A Time-Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion. Complexity No. 2018 (2018), pp.1-22.
https://search.emarefa.net/detail/BIM-1136298
American Medical Association (AMA)
Sun, Yan& Hrušovský, Martin& Zhang, Chen& Lang, Maoxiang. A Time-Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion. Complexity. 2018. Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1136298
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136298