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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2019-04-01
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Online Access: | https://www.mdpi.com/2071-1050/11/8/2383 |
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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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1725987726911602688 |