摘要
边境铁路口岸站是跨境铁路运输的关键节点,在国际物流通道中发挥着重要作用,其运输效率直接影响跨境贸易。随着国际货运班列数量的增长,口岸站货物滞留问题日益突出。以提升口岸站通关效率为目标,运用广义随机Petri网对口岸站通关流程进行建模分析,借助AnyLogic仿真工具进行情景模拟,旨在识别并改善口岸站通关流程中的关键环节,选取“最大拥堵长度”“列车通过率”和“列车平均在站停留时间”作为评估优化效果的关键指标,以磨憨口岸站进口作业流程为例进行分析,结果表明:优化措施不仅可以缓解磨憨口岸站的拥堵情况,相较于优化前口岸站的列车通过率提高106.5%,列车平均在站停留时间减少76.3%,验证了所用方法的有效性。
Border railway port stations serve as critical nodes in cross-border railway transportation and play an important role in the international logistics channel.Their operational efficiency directly impacts cross-border trade.With the increasing number of international freight trains,the issue of cargo congestion at these port stations has become increasingly prominent.To enhance customs clearance efficiency at port stations,this study employed a generalized stochastic Petri net to model and analyze the customs clearance process.The AnyLogic simulation tool was used for scenario simulation,so as to identify and improve key stages in the customs clearance process.The key indicators selected to evaluate the optimization effects were“maximum congestion length,”“train throughput rate,”and“average train dwell time.”With the import operation process at the Mohan port station as an example,the results demonstrate that the optimization measures not only alleviate congestion at the Mohan port station but also increase the train throughput rate by106.5% and reduce the average train dwell time by 76.3%. These findings validate the effectivenessof the proposed method.
作者
杨红
汤银英
陈思
YANG Hong;TANG Yinying;CHEN Si(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,Sichuan,China)
出处
《铁道运输与经济》
北大核心
2025年第3期84-94,共11页
Railway Transport and Economy
基金
中国国家铁路集团有限公司科技研究开发计划课题(K2022X027,K2022X025)
中国铁路兰州局集团有限公司科技研究开发计划课题(2023006-1,2024010-1)。
关键词
口岸站
通关流程优化
广义随机PETRI网
AnyLogic仿真
优化措施
Port Station
Customs Clearance Process Optimization
Generalized Stochastic Petri Net
AnyLogic Simulation
Optimization Measures
