中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2021, Vol. 40 ›› Issue (12): 54-61.DOI: 10.3969/j.issn.1674-0696.2021.12.09

• 交通+大数据人工智能 • 上一篇    

公路货运场站车货动态配载优化研究

张赫,王宇,刘宇,邢江豪   

  1. (大连海事大学 交通运输工程学院,辽宁 大连 116026)
  • 收稿日期:2020-07-20 修回日期:2020-11-19 发布日期:2021-12-27
  • 作者简介:张赫(1971—),男,吉林长春人,副教授,博士,主要从事交通运输规划与管理方面的研究。E-mail:zhanghe@dlmu.edu.cn 通信作者:王宇(1995—),男,山西太原人,硕士研究生,主要从事物流工程与管理方面的研究。E-mail:wy425274491@qq.com
  • 基金资助:
    国家自然科学基金项目(60602020);江苏省博士后科研资助项目(1660631109)

Dynamic Stowage Optimization of Vehicles and Cargos in Road Freight Yard

ZHANG He, WANG Yu, LIU Yu, XING Jianghao   

  1. (School of Traffic & Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China)
  • Received:2020-07-20 Revised:2020-11-19 Published:2021-12-27

摘要: 在公路货运场站内货车分批次进行运输任务的情况下,对各个时间段车辆与货物进行动态配载研究,加入了车辆周转行程时间预测,考虑到每批周转车辆的返回以及车辆保养维修等因素,以完成运输任务所需车辆数最小为目标函数,建立了车货动态配载模型。以某货运场站的运输任务为例,用解乘数法进行求解,并与相应静态配载案例进行对比。结果表明:该模型能够优化车辆资源配置,提高公路货运场站的经济效益和运作效率。

关键词: 交通运输工程;动态配载;公路运输;解乘数法;行程时间预测;车货调度

Abstract: Under the condition that the vehicles carried out the transportation task in batches in the road freight yard, the dynamic stowage of vehicles and cargos in each period was studied, and the vehicle turnover travel time prediction was also added. Considering the return of each batch of turnover vehicles and vehicle maintenance, taking the minimum number of vehicles required to complete the transportation task as the objective function, the dynamic stowage model of vehicles and cargos was established. Taking the transportation task of a freight station as an example, the solution multiplier method was used to solve the problem and compared with the corresponding static stowage case. The results show that the proposed model can optimize the allocation of vehicle resources and improve the economic benefit and operation efficiency of road freight yard.

Key words: traffic and transportation engineering; dynamic stowage; road transportation; solution multiplier method; travel time prediction; vehicle-cargo scheduling

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