铁道运输与经济2025，Vol.47Issue(3)：84-94,11.DOI:10.16668/j.cnki.issn.1003-1421.2025.03.08
基于广义随机Petri网的口岸站通关流程优化
Optimization of Port Station Customs Clearance Process Based on Generalized Stochastic Petri Nets:A Case Study of Mohan Port Station
摘要
Abstract
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 by 106.5%and reduce the average train dwell time by 76.3%.These findings validate the effectiveness of the proposed method.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Key words
Port Station/Customs Clearance Process Optimization/Generalized Stochastic Petri Net/AnyLogic Simulation/Optimization Measures分类
交通运输引用本文复制引用
杨红,汤银英,陈思..基于广义随机Petri网的口岸站通关流程优化[J].铁道运输与经济,2025,47(3):84-94,11.基金项目
中国国家铁路集团有限公司科技研究开发计划课题(K2022X027,K2022X025) （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) （2023006-1,2024010-1）
