偶发性超大交通需求下鲁棒公路网络设计模型研究

发布时间：2018-08-27 18:22

【摘要】：近年来机动车保有量的快速增长,免费公路政策的实施,巨大的公路压力迎面而来,节假日的公路免费、国内各地不断取得了大型国际赛事和活动的举办等催生了大量偶发性超大出行需求,为了进一步满足人们的交通出行需求,除了制定相应的交通需求管理策略外,还需要在交通供给上下功夫。超大的交通需求在时间上、空间上是一种小概率事件,本文把这种需求当作不确定性交通需求处理,这样可以避免决策带来的风险,并经过不确定的度量方法比较,确定了选择区间数做为超大的交通需求的度量工具以及表示方法。此外偶发性超大交通需求对公路网络的巨大冲击使得有必要对公路网络的容量进行研究,本文经过了公路网路流量的理论分析,以及公路网络常规方法的优缺点归纳概括之后,找到了优化的容量计算组合方法,并建立了公路网络容量模型,经过算例的验证再提出了适合偶发性超大交通需求下的公路网络模型,以及简单算例进行了可行性计算验证后,进一步提出了鲁棒公路网络设计对提高超大交通需求下公路网络容量的必要性。本文主要是研究偶发性超大交通需求下的鲁棒公路设计问题,以定义的公路网络容量最大,即公路网络的最大承载量最大为目标,应用了区间数度量偶发超大需求不确定性,结合区间不确定需求下的交通运输均衡分配,建立了偶发性超大交通需求下的鲁棒公路网络模型,并设计了基于MSA算法下的遗传算法对建立的模型进行算例求解,以及验证所提出的模型方法的可行性和有效性。
[Abstract]:In recent years, with the rapid increase in the number of motor vehicles, the implementation of the free highway policy, the huge road pressure is coming, and the roads on holidays are free of charge. In order to further meet the traffic demand of people, in addition to formulating the corresponding traffic demand management strategy, a large number of accidental and super-large travel needs have been spawned by the holding of large-scale international events and events all over the country. There is also a need to work on the provision of transportation. Large traffic demand is a kind of small probability event in time and space. In this paper, the demand is treated as uncertain traffic demand, which can avoid the risk of decision making and be compared by uncertain measurement methods. The interval number is chosen as the measurement tool and the representation method of the large traffic demand. In addition, it is necessary to study the capacity of highway network because of the huge impact of accidental large traffic demand on highway network. After the theoretical analysis of highway network flow and the advantages and disadvantages of conventional methods of highway network, this paper summarizes the advantages and disadvantages of highway network. The optimized capacity calculation combination method is found, and the highway network capacity model is established. The highway network model suitable for the accidental large traffic demand is put forward after the verification of an example, and the feasibility of a simple example is verified. Furthermore, the necessity of robust highway network design for increasing the capacity of highway network under the demand of large traffic is put forward. In this paper, we mainly study the problem of robust highway design under the demand of accidental super-large traffic. Aiming at the maximum capacity of the defined highway network, that is, the maximum carrying capacity of the highway network, the interval number is used to measure the uncertainty of the contingent super-large demand. A robust highway network model based on the random large traffic demand is established, and the genetic algorithm based on MSA algorithm is designed to solve the model. And verify the feasibility and effectiveness of the proposed model method.
【学位授予单位】：长沙理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U412.1

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