Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption

Rail–truck intermodal terminals are an important type of dry port and play a vital role in inland freight transport. This paper addresses the container loading problem in rail–truck intermodal terminals considering energy consumption under the sustainability concept. We analyze t...

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Main Authors: Li Wang, Xiaoning Zhu
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/8/2383
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spelling doaj-82add57249c844db99b7a17b177037422020-11-24T21:24:31ZengMDPI AGSustainability2071-10502019-04-01118238310.3390/su11082383su11082383Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy ConsumptionLi Wang0Xiaoning Zhu1School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaRail–truck intermodal terminals are an important type of dry port and play a vital role in inland freight transport. This paper addresses the container loading problem in rail–truck intermodal terminals considering energy consumption under the sustainability concept. We analyze the effect factors of energy efficiency for container loading operations and develop an optimization model to minimize the total handling time and container reshuffling. A genetic algorithm is designed to obtain the optimal container loading sequence. Computational experiments on a specific Chinese rail–truck intermodal terminal were conducted to evaluate the performance of our approach. Results show our approach has a good performance for different sizes, and the total handing time, reshuffling times and energy consumption of the handling task are prominently decreased.https://www.mdpi.com/2071-1050/11/8/2383Sustainabilitydry portsintermodal freight transportrail–truck intermodal terminalenergy consumption
collection DOAJ
language English
format Article
sources DOAJ
author Li Wang
Xiaoning Zhu
spellingShingle Li Wang
Xiaoning Zhu
Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption
Sustainability
Sustainability
dry ports
intermodal freight transport
rail–truck intermodal terminal
energy consumption
author_facet Li Wang
Xiaoning Zhu
author_sort Li Wang
title Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption
title_short Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption
title_full Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption
title_fullStr Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption
title_full_unstemmed Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption
title_sort container loading optimization in rail–truck intermodal terminals considering energy consumption
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-04-01
description Rail–truck intermodal terminals are an important type of dry port and play a vital role in inland freight transport. This paper addresses the container loading problem in rail–truck intermodal terminals considering energy consumption under the sustainability concept. We analyze the effect factors of energy efficiency for container loading operations and develop an optimization model to minimize the total handling time and container reshuffling. A genetic algorithm is designed to obtain the optimal container loading sequence. Computational experiments on a specific Chinese rail–truck intermodal terminal were conducted to evaluate the performance of our approach. Results show our approach has a good performance for different sizes, and the total handing time, reshuffling times and energy consumption of the handling task are prominently decreased.
topic Sustainability
dry ports
intermodal freight transport
rail–truck intermodal terminal
energy consumption
url https://www.mdpi.com/2071-1050/11/8/2383
work_keys_str_mv AT liwang containerloadingoptimizationinrailtruckintermodalterminalsconsideringenergyconsumption
AT xiaoningzhu containerloadingoptimizationinrailtruckintermodalterminalsconsideringenergyconsumption
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