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论文类型： 期刊论文

发表时间： 2022-06-29

发表刊物： 公路工程

所属单位： 建设工程学部

卷号： 43

期号： 1

页面范围： 123-126,164

ISSN号： 1674-0610

摘要： With the steady growth of seaport's cargo throughput,supporting infrastructure needs to be continuously developed to meet the increasing port traffic demands.As the main transportation infrastructure of port collecting and distributing system,how to measure the traffic condition accurately is the precondition of the port transportation system planning.Therefore,in this paper,after the consideration of the characteristics of port transportation,the unblocked reliability of port collecting and distributing road model based on Bayesian network is constructed.Then,the unblocked reliability is regarded as the evaluation index of road traffic condition.Besides,the unblocked reliability is analyzed and quantified after being combined with structure learning and parameter learning method of Bayesian network.Finally,this paper takes the traffic condition on a port expressway in May 13th 7:00 ～20:00 as an example to validate and analyze the conducted model.

备注： 新增回溯数据