基于VISSIM仿真的上海迪士尼乐园交通组织评价

发布时间：2018-01-18 03:15

本文关键词：基于VISSIM仿真的上海迪士尼乐园交通组织评价　出处：《华东师范大学》2017年硕士论文　论文类型：学位论文

【摘要】：2016年6月16日正式开幕的上海迪士尼主题乐园,从规划建设伊始就受到国内外游客的关注和期待。大客流将会对上海迪士尼乐园周边的交通管理与组织也产生影响。因此,迫切需要研究上海迪士尼乐园游客的出行特征,包括空间分布、时间分布以及交通方式。同时,也需要研究上海迪士尼乐园现状路网交通流量情况,从而对当前交通组织进行评价,找到潜在的问题,找到可能发生客流拥堵的时间点与空间点。本文通过实地问卷调研、实地视频拍摄、网络爬虫技术以及微观交通仿真技术,对上海迪士尼乐园的客流出行规律进行调查研究,对乐园的主要交通节点的通行能力进行评价,最终针对现状存在的问题提出优化方案。论文开展了以下几个方面的工作:首先,通过网络爬虫技术获取上海迪士尼乐园的客流规模数据,后续处理分析客流在不同时间尺度上的分布特征,并确立客流在何日为高峰日,在何时为高峰时。其次,根据实地问卷调研的结果,统计分析客源地分布结构特征和客流交通方式结构特征,综合客流规模数据,可以得到在一日内选择私家车方式自驾抵达上海迪士尼乐园的交通流量。然后,为了研究日交通流量在乐园现状路网上是如何分配,本文选取研究区的三个主要出入口,通过实地视频拍摄获取高峰日多个时段的真实路况,后期整理数据作为交通仿真的参数。最后,在VISSIM平台上建立仿真路网,结合上面得到的参数进行交通仿真评价,找到可能存在的问题并提出优化方案。结果表明,现有的交通规划(乐园出入口)能够承载当前的交通量。在时间尺度上,日交通需求量具有明显的波动特征,主要受到节假日、双休日因素的影响。在一日之内,交通流量值也存在着高峰与低谷。在空间尺度上,日交通流量在乐园的现状路网上分配不均衡,西入口承担了总体交通需求量的近70%,而东入口和南入口没有得到充分的利用。因此,可以预测在重要的节假日或黄金周,西环形交叉口是一个重要的交通节点,可能会发生客流拥堵。为此,本文提出了路径诱导措施,将来自S20、S32的入园交通量引导至位于唐黄路的东入口或者位于航城路的南入口。最后的仿真运行结果显示,路径诱导后的西环形交叉口的负荷度降低了 0.11,平均延误时间减少了 5.8秒,平均等待长度减少了 4.9米,服务水平等级得到了提升。
[Abstract]:The Shanghai Disneyland theme park officially opened on June 16th 2016. From the beginning of planning and construction, it has attracted the attention and expectation of domestic and foreign tourists. The large passenger flow will also have an impact on the traffic management and organization around Shanghai Disneyland. There is an urgent need to study the travel characteristics of visitors to Shanghai Disneyland, including spatial distribution, time distribution and transportation mode. At the same time, it is also necessary to study the current situation of traffic flow in the road network of Shanghai Disneyland. In order to evaluate the current traffic organization, to find potential problems, to find the possible traffic congestion in time and space points. This paper through the field questionnaire survey, field video shooting. Network crawler technology and microscopic traffic simulation technology to investigate and study the rules of passenger flow of Shanghai Disneyland, and evaluate the traffic capacity of the main traffic nodes of the park. Finally, in view of the existing problems of the optimization scheme. The paper carried out the following aspects of the work: first, through the network crawler technology to obtain the Shanghai Disneyland passenger flow scale data. The following processing analyzes the distribution characteristics of passenger flow on different time scales, and determines when the passenger flow is the peak day and when it is the peak. Secondly, according to the results of the field questionnaire survey. Based on the statistical analysis of the distribution structure and the structure of passenger traffic mode, we can get the traffic flow of choosing private car to reach Shanghai Disneyland in 1st by combining the data of passenger flow scale. Then. In order to study how the daily traffic flow is distributed on the current road network of the park, this paper selects three main entrances and exits in the study area, and obtains the real traffic conditions in multiple periods of peak day by field video shooting. Finally, the simulation network is built on the VISSIM platform, and the traffic simulation evaluation is carried out with the above parameters. The results show that the existing traffic planning (the entrance and exit of paradise) can carry the current traffic volume. In the time scale, the daily traffic demand has obvious fluctuation characteristics. In 1st, the value of traffic flow also has peaks and valleys. On a spatial scale, the distribution of daily traffic flow in the current status of the park on the road network is not balanced. The west entrance covers nearly 70 percent of the overall traffic demand, while the east and south entrances are not fully utilized. Therefore, it can be predicted during important holidays or golden weeks. West roundabout is an important traffic node, which may lead to passenger congestion. Therefore, this paper proposes the route guidance measures, which will come from S20. The traffic volume of S32 is directed to the east entrance of Tanghuang Road or the south entrance of Hangcheng Road. Finally, the simulation results show that the load degree of the West Ring Crossing after route guidance is reduced by 0.11. The average delay was reduced by 5.8 seconds, the average waiting time was reduced by 4.9 metres, and the level of service was upgraded.
【学位授予单位】：华东师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491

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