A time-dependent fuzzy programming approach for the green multimodal routing problem with rail service capacity uncertainty and road traffic congestion

DOI10.1155/2018/8645793zbMath1398.90037OpenAlexW2810073955WikidataQ129615775 ScholiaQ129615775MaRDI QIDQ1784937

Chen Zhang, Martin Hrušovský, Yan Sun, Maoxiang Lang

Publication date: 27 September 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/8645793

zbMATH Keywords

uncertaintyroad traffic congestionestablish a fuzzy chance-constrained mixed integer nonlinear programmingmultimodal routing problemtime-dependent fuzzy programming

Mathematics Subject Classification ID

Mixed integer programming (90C11) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Traffic problems in operations research (90B20)

Related Items (3)

A Fixed Charge Solid Transportation Problem with Possibility and Expected Value Approaches in Hybrid Uncertain Environment ⋮ A fuzzy programming method for modeling demand uncertainty in the capacitated road-rail multimodal routing problem with time windows ⋮ An assign-and-route matheuristic for the time-dependent inventory routing problem

Uses Software

• LINDO
• LINGO

Cites Work

• A review of recent research on green road freight transportation
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• Multi-objective multi-item solid transportation problem in fuzzy environment
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• Best routes selection in international intermodal networks
• Service network design for freight transportation: a review
• Fuzzy vehicle routing model with credibility measure and its hybrid intelligent algorithm
• Modeling and solving a multimodal transportation problem with flexible-time and scheduled services

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