Green road–rail intermodal routing problem with improved pickup and delivery services integrating truck departure time planning under uncertainty: an interactive fuzzy programming approach

This paper addresses the multi-objective optimization for the road–rail intermodal routing problem that aims to minimize the total costs and carbon dioxide emissions of the routes. To achieve high timeliness of the entire transportation process, pickup and delivery services are simultaneously improv...

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Bibliographic Details
Published in:	Complex & intelligent systems Vol. 8; no. 2; pp. 1459 - 1486
Main Authors:	Sun, Yan, Yu, Nan, Huang, Baoliang
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.04.2022 Springer Nature B.V
Subjects:	Carbon dioxide Complexity Computational Intelligence Confidence intervals Data Structures and Information Theory Delivery services Emission Empirical analysis Engineering Feasibility Intermodal Multiple objective analysis Optimization Optimization models Original Article Postal & delivery services Programming Route planning Time measurement Transportation Travel time Uncertainty Windows (intervals) Green routing Service level Truck departure time planning Uncertainty Carbon dioxide emissions Interactive fuzzy programming Multi-objective optimization Road–rail intermodal transportation
ISSN:	2199-4536, 2198-6053
Online Access:	Get full text
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