Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage
Transportation wastage is inevitable during transportation. With the emergence of container transportation, the transportation wastage generated by most cargo through container transportation has been greatly reduced. However, for products such as grain, oil, and sand transported in bulk, significan...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10347186/ |
| _version_ | 1797376377108824064 |
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| author | Qingsong Ai Jun Zhang Quan Liu Chuanjie Zhang Qiyuan Chen Junwei Yan |
| author_facet | Qingsong Ai Jun Zhang Quan Liu Chuanjie Zhang Qiyuan Chen Junwei Yan |
| author_sort | Qingsong Ai |
| collection | DOAJ |
| description | Transportation wastage is inevitable during transportation. With the emergence of container transportation, the transportation wastage generated by most cargo through container transportation has been greatly reduced. However, for products such as grain, oil, and sand transported in bulk, significant transportation wastage still occurs during the process. Under the background of vigorously developing intermodal transportation in the transportation industry, there is still limited research on transportation wastage in bulk intermodal transportation. This study proposes a multi-objective model to determine appropriate transport routes and modes for inland waterway dry bulk transport, minimizing transport time and transport costs considering transport wastage. Using existing machine learning algorithms to predict wastage in multimodal transportation of bulk cargo. The goal is to accurately predict transportation wastage, determine transportation routes and modes. Considering the poor generalization ability of heuristic algorithms, a hyper-heuristic algorithm based on the hypervolume indicator is designed to solve the model, and it is validated through simulation experiments. The analysis results show that the model can effectively reduce the wastage rate during bulk intermodal transportation. |
| first_indexed | 2024-03-08T19:37:40Z |
| format | Article |
| id | doaj.art-c8bce20d2b5547d4b2d80bfdae629f60 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T19:37:40Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c8bce20d2b5547d4b2d80bfdae629f602023-12-26T00:04:31ZengIEEEIEEE Access2169-35362023-01-011113957513958610.1109/ACCESS.2023.334021710347186Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport WastageQingsong Ai0https://orcid.org/0000-0003-4283-2289Jun Zhang1https://orcid.org/0009-0004-6343-7848Quan Liu2https://orcid.org/0000-0002-9036-0290Chuanjie Zhang3Qiyuan Chen4Junwei Yan5https://orcid.org/0000-0003-4170-981XSchool of Information Engineering, Wuhan University of Technology, Wuhan, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan, ChinaNeZha Smart Port and Shipping Technology (Shanghai) Company Ltd., Shanghai, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan, ChinaTransportation wastage is inevitable during transportation. With the emergence of container transportation, the transportation wastage generated by most cargo through container transportation has been greatly reduced. However, for products such as grain, oil, and sand transported in bulk, significant transportation wastage still occurs during the process. Under the background of vigorously developing intermodal transportation in the transportation industry, there is still limited research on transportation wastage in bulk intermodal transportation. This study proposes a multi-objective model to determine appropriate transport routes and modes for inland waterway dry bulk transport, minimizing transport time and transport costs considering transport wastage. Using existing machine learning algorithms to predict wastage in multimodal transportation of bulk cargo. The goal is to accurately predict transportation wastage, determine transportation routes and modes. Considering the poor generalization ability of heuristic algorithms, a hyper-heuristic algorithm based on the hypervolume indicator is designed to solve the model, and it is validated through simulation experiments. The analysis results show that the model can effectively reduce the wastage rate during bulk intermodal transportation.https://ieeexplore.ieee.org/document/10347186/Bulk cargo multimodal transporthyper-heuristicmulti-objective optimizationtransport wastage |
| spellingShingle | Qingsong Ai Jun Zhang Quan Liu Chuanjie Zhang Qiyuan Chen Junwei Yan Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage IEEE Access Bulk cargo multimodal transport hyper-heuristic multi-objective optimization transport wastage |
| title | Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage |
| title_full | Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage |
| title_fullStr | Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage |
| title_full_unstemmed | Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage |
| title_short | Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage |
| title_sort | bulk cargo multimodal transportation on inland waterways considering transport wastage |
| topic | Bulk cargo multimodal transport hyper-heuristic multi-objective optimization transport wastage |
| url | https://ieeexplore.ieee.org/document/10347186/ |
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