城轨通道行人超越与对向避让模型研究
发布时间：2019-06-15 01:38
【摘要】：在各类交通方式中,步行交通有其不可替代的作用。行人在行走过程中,存在较多使行人流交叉、相向而行的通道,导致行人交织区域的人流线特征混合,影响行人走行时间、交织区域的通行能力和服务水平。针对这一问题,国内外学者建立行人微观行为模型进行研究,并取得了显著的成果。 本文对行人交通特征进行了总结概括,分析了行人行为的社会力仿真模型,并重点对社会力模型的改进研究成果进行阐述,为本文基于社会力模型的行人超越和对向避让模型的研究,提供了理论支撑。 本文的主要研究内容如下： (1)针对传统社会力模型的不足,在前人研究的基础之上,引入个体决策行为,重点考虑超越及对向避碰行为。针对传统社会力模型中受力关系导致的行人无法进行超越及避让不够合理的现象进行了改进；构建视觉机制,规定行人发生行为的视觉密度范围,作为发生行人行为之前的条件判断。行人能够根据自己走行目的地,实施超越和对向提前避让,使模型更接近实际。 (2)结合行人决策行为对社会力模型进行了改进,建立了城轨通道内行人超越与对向避让(避让分为单人绕行和双人绕行模型)模型。 (3)借助MATLAB软件,分别对传统社会力模型、前人改进社会力模型及本文建立的城轨通道内行人超越与对向避让模型编制了程序,对行人同向超越及对向避让的行为进行仿真。通过对模型参数的设置,构建不同的环境进行仿真实验。 (4)将本文建立的城轨通道内行人超越和对向避让模型,与传统社会力模型和前人改进的社会力模型进行了对比分析,通过行人发生行为时通道走行时间、移动轨迹及算法时间复杂度的比较,验证了本文提出的改进模型优于前人的模型,更接近实际。
[Abstract]:Among all kinds of traffic modes, pedestrian traffic plays an irreplaceable role. In the process of pedestrian walking, there are many passageways that make pedestrian flow cross and go in opposite direction, which leads to the mixing of human streamline characteristics in pedestrian interlaced area, which affects the pedestrian walking time, the traffic capacity and service level of the interlaced area. In order to solve this problem, scholars at home and abroad have established pedestrian micro-behavior model to study, and have achieved remarkable results. In this paper, the characteristics of pedestrian traffic are summarized, the social force simulation model of pedestrian behavior is analyzed, and the improved research results of social force model are expounded, which provides theoretical support for the research of pedestrian transcendence and directional avoidance model based on social force model. The main contents of this paper are as follows: (1) in view of the shortcomings of the traditional social force model, on the basis of previous studies, the introduction of individual decision-making behavior, focusing on transcendence and directional collision avoidance behavior. In view of the unreasonable phenomenon that pedestrians can not surpass and avoid the behavior caused by the force relationship in the traditional social force model, the visual mechanism is constructed to define the range of visual density of pedestrian behavior as the condition judgment before the occurrence of pedestrian behavior. Pedestrians can move according to their destination, carry out transcendence and evade ahead of time, so that the model is closer to reality. (2) combined with pedestrian decision-making behavior, the social force model is improved, and the models of pedestrian transcendence and concealment (avoidance is divided into single bypass model and double bypass model) are established. (3) with the help of MATLAB software, the traditional social force model, the previous improved social force model and the pedestrian transcendence and concealment model established in this paper are programmed to simulate the behavior of pedestrian co-direction transcendence and directional avoidance. Through the setting of model parameters, different environments are constructed to carry out simulation experiments. (4) the pedestrian transcendence and concealment model established in this paper is compared with the traditional social force model and the previous improved social force model. By comparing the passage running time, moving trajectory and algorithm time complexity when pedestrians occur, it is verified that the improved model proposed in this paper is superior to the previous model and is closer to the reality.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.226
本文编号：2499869
[Abstract]:Among all kinds of traffic modes, pedestrian traffic plays an irreplaceable role. In the process of pedestrian walking, there are many passageways that make pedestrian flow cross and go in opposite direction, which leads to the mixing of human streamline characteristics in pedestrian interlaced area, which affects the pedestrian walking time, the traffic capacity and service level of the interlaced area. In order to solve this problem, scholars at home and abroad have established pedestrian micro-behavior model to study, and have achieved remarkable results. In this paper, the characteristics of pedestrian traffic are summarized, the social force simulation model of pedestrian behavior is analyzed, and the improved research results of social force model are expounded, which provides theoretical support for the research of pedestrian transcendence and directional avoidance model based on social force model. The main contents of this paper are as follows: (1) in view of the shortcomings of the traditional social force model, on the basis of previous studies, the introduction of individual decision-making behavior, focusing on transcendence and directional collision avoidance behavior. In view of the unreasonable phenomenon that pedestrians can not surpass and avoid the behavior caused by the force relationship in the traditional social force model, the visual mechanism is constructed to define the range of visual density of pedestrian behavior as the condition judgment before the occurrence of pedestrian behavior. Pedestrians can move according to their destination, carry out transcendence and evade ahead of time, so that the model is closer to reality. (2) combined with pedestrian decision-making behavior, the social force model is improved, and the models of pedestrian transcendence and concealment (avoidance is divided into single bypass model and double bypass model) are established. (3) with the help of MATLAB software, the traditional social force model, the previous improved social force model and the pedestrian transcendence and concealment model established in this paper are programmed to simulate the behavior of pedestrian co-direction transcendence and directional avoidance. Through the setting of model parameters, different environments are constructed to carry out simulation experiments. (4) the pedestrian transcendence and concealment model established in this paper is compared with the traditional social force model and the previous improved social force model. By comparing the passage running time, moving trajectory and algorithm time complexity when pedestrians occur, it is verified that the improved model proposed in this paper is superior to the previous model and is closer to the reality.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.226
【参考文献】
相关期刊论文 前2条
1 刘栋栋;孔维伟;李磊;张蕊;赵东拂;曾杰;蒋方;韩冬;;北京地铁交通枢纽行人特征的调查与分析[J];建筑科学;2010年03期
2 王子甲;陈峰;施仲衡;;基于Agent的社会力模型实现及地铁通道行人仿真[J];华南理工大学学报(自然科学版);2013年04期
，本文编号：2499869
本文链接：https://www.wllwen.com/kejilunwen/jiaotonggongchenglunwen/2499869.html
