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A Time-Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion

Sun, Yan and Hrusovsky, Martin and Zhang, Chen and 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, 2018. pp. 1-22. ISSN 1076-2787

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Abstract

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.

Item Type: Article
Additional Information: This study was supported by the Ernst Mach Scholarship financed by the Eurasia Pacific Uninet on behalf of the Austrian Federal Ministry of Science, Research and Economy (BMWFW) under Reference no. ICM-2016-04319, the National Natural Science Foundation of China under Grant nos. 71390332-3 and 71501111, the Shandong Provincial Social Science Planning of China under Grant no. 16DGLJ06, and the Shandong Provincial Natural Science Foundation of China under Grant no. ZR2017BG010.
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 12 Nov 2018 12:18
Last Modified: 12 Nov 2018 14:02
Related URLs:
URI: http://epub.wu.ac.at/id/eprint/6638

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