Estimating regional shared trailer demand in drop-and-pull transport
With the advancement of modern information technology, the demand for shared trailers in drop-and-pull transport has become a research focus. In this study, a method for estimating regional shared trailer demand is proposed. This method comprehensively considers the regional drop-and-pull level and...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824015059 |
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| author | Mei Feng Qianwei Peng Zhixue Zhao |
| author_facet | Mei Feng Qianwei Peng Zhixue Zhao |
| author_sort | Mei Feng |
| collection | DOAJ |
| description | With the advancement of modern information technology, the demand for shared trailers in drop-and-pull transport has become a research focus. In this study, a method for estimating regional shared trailer demand is proposed. This method comprehensively considers the regional drop-and-pull level and the total tonnage of operational freight vehicles to calculate the total tonnage of shared trailers in the region, thus estimating the shared trailer demand. This provides a reference for the allocation of shared trailers in regional drop-and-pull transport. The regional drop-and-pull level is measured by the ratio of drop-and-pull freight volume to total freight volume. Three different machine learning models, namely linear regression, random forest, and XGBoost, were used to predict the freight volume. The shared trailer demand was then calculated based on the freight volume. The comparison of prediction results showed that the XGBoost model had the best predictive performance. Finally, the effectiveness of the shared trailer demand estimation method was verified through a case study. |
| format | Article |
| id | doaj-art-94c64c91b63b4b05b49cc972203235a3 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-94c64c91b63b4b05b49cc972203235a32025-02-07T04:47:09ZengElsevierAlexandria Engineering Journal1110-01682025-02-01113242248Estimating regional shared trailer demand in drop-and-pull transportMei Feng0Qianwei Peng1Zhixue Zhao2Hunan Modern Logistics College, Changsha 410131, ChinaHunan Modern Logistics College, Changsha 410131, China; Corresponding author.Hunan University of Technology and Business, Changsha 410205, ChinaWith the advancement of modern information technology, the demand for shared trailers in drop-and-pull transport has become a research focus. In this study, a method for estimating regional shared trailer demand is proposed. This method comprehensively considers the regional drop-and-pull level and the total tonnage of operational freight vehicles to calculate the total tonnage of shared trailers in the region, thus estimating the shared trailer demand. This provides a reference for the allocation of shared trailers in regional drop-and-pull transport. The regional drop-and-pull level is measured by the ratio of drop-and-pull freight volume to total freight volume. Three different machine learning models, namely linear regression, random forest, and XGBoost, were used to predict the freight volume. The shared trailer demand was then calculated based on the freight volume. The comparison of prediction results showed that the XGBoost model had the best predictive performance. Finally, the effectiveness of the shared trailer demand estimation method was verified through a case study.http://www.sciencedirect.com/science/article/pii/S1110016824015059Drop-and-pull transportShared trailerDemand estimationFreight volume predictionMachine learning |
| spellingShingle | Mei Feng Qianwei Peng Zhixue Zhao Estimating regional shared trailer demand in drop-and-pull transport Alexandria Engineering Journal Drop-and-pull transport Shared trailer Demand estimation Freight volume prediction Machine learning |
| title | Estimating regional shared trailer demand in drop-and-pull transport |
| title_full | Estimating regional shared trailer demand in drop-and-pull transport |
| title_fullStr | Estimating regional shared trailer demand in drop-and-pull transport |
| title_full_unstemmed | Estimating regional shared trailer demand in drop-and-pull transport |
| title_short | Estimating regional shared trailer demand in drop-and-pull transport |
| title_sort | estimating regional shared trailer demand in drop and pull transport |
| topic | Drop-and-pull transport Shared trailer Demand estimation Freight volume prediction Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824015059 |
| work_keys_str_mv | AT meifeng estimatingregionalsharedtrailerdemandindropandpulltransport AT qianweipeng estimatingregionalsharedtrailerdemandindropandpulltransport AT zhixuezhao estimatingregionalsharedtrailerdemandindropandpulltransport |