重庆大学学报2026，Vol.49Issue(2)：69-80,12.DOI:10.11835/j.issn.1000-582X.2026.02.006
公路整车运输中基于视图相似度的车货匹配研究
Research on vehicle-cargo matching based on view similarity for road transportation
摘要
Abstract
To improve vehicle utilization and maximize resource efficiency in road freight transportation,this paper proposes a vehicle-cargo matching method based on view similarity,following case-based reasoning(CBR)principles.First,vehicle and cargo information is formally represented using a knowledge description system,enabling initial classification and matching through vehicle CR attributes and cargo N attributes.Subsequently,K-means clustering is performed on the vehicle dataset,and Mahalanobis distance is used to determine the cluster most similar to the cargo to be matched,thereby reducing the search space.An enhanced view-similarity calculation method is then introduced,where Euclidean distance is used to measure similarity between the target cargo and vehicles within the selected cluster.Experimental results show that the proposed method yields higher discrimination in matching results,with a maximum similarity of 0.848.Moreover,vehicle loading rates are significantly improved,with matching efficiency increased by about 76%.This method offers an effective approach for optimizing vehicle-cargo allocation in full-truck-load scenarios.关键词
公路整车运输/车货匹配/AHP/CRITIC/视图相似度Key words
full-truck load/vehicle-cargo matching/AHP/CRITIC/view similarity分类
交通工程引用本文复制引用
张建华,杨家和,曹子傲,刘金燕,王晓荷..公路整车运输中基于视图相似度的车货匹配研究[J].重庆大学学报,2026,49(2):69-80,12.基金项目
国家社会科学基金(19BTQ035). Supported by National Social Science Foundation of China(19BTQ035). （19BTQ035）
