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Modeling And Simulation Of Traffic Behavior Of Pedestrian Peer Group

Posted on:2016-06-30Degree:MasterType:Thesis
Country:ChinaCandidate:Q X LuanFull Text:PDF
GTID:2132330470470609Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
With the quickening of the urbanization process, People’s way of travelling is increasingly consummate and present a diversified development trend, There is an excessive traffic mode before, between and after the implementation of every kind of way to travel, that is walking, walking plays a very important role in all travel modes. In recent years, National or regional events each year will be held as scheduled, These activities bring economic and social benefits, while also easily lead to large-scale pedestrian traffic accidents, therefor, Evaluate the planning, design and safety of the pedestrian facilities becoming increasingly necessary.Pedestrian simulation technology is a kind of method which is based on the actual pedestrian movement data collection, establish an effective pedestrian behavior database, and then extract the useful information and used it to the established pedestrian movement model, With computer virtual simulation technology to reproduce the pedestrian movement behavior. Pedestrian simulation has been widely studied in the design of the building structure, safety science and other fields. At present there has produced several kinds of microscopic simulation model of pedestrian behavior, However, due to the complexity of population movements, Pedestrian simulation technology has been in continuous improvement and refinement. Existing pedestrian simulation study focused on research of pedestrian behavior in emergency situations, those research focuses on the study of individual pedestrian behavior, ignoring, that there are a lot of small groups of macro-social are the in the crowd,such as friends, husband and wife, etc. In addition, most of existing research are deemed all pedestrians as a homogeneous, This is helpful to improve the efficiency of computer simulation, but greatly reduces the pedestrian simulation fidelity, In this paper, based on the introduction of peer group effects, the properties of heterogeneous pedestrians were discussed, Introduces a pedestrian avoidance action items and heterogeneity pedestrian path planning algorithm, Based on the constructed simulation model the simulation platform was built, and then research the influence of pedestrian behavior to traffic flow, In this paper, the following aspects of the research will be carried out:Firstly, Three aspects about microscopic pedestrian behavior modeling and computer simulation, study on peer group pedestrian behavior and pedestrian heterogeneous cluster, Pedestrian behavior and the relationship between the spatial information facility layout are reviewed, Summarizes the advantages and disadvantages of the existing pedestrian basic simulation model and the application scope, Comparative analysis of the existing models based on the original development of the basic characteristics of several simulation software.Then, Based on the above analysis to choose the social force model as the basic model of pedestrian movement behavior modeling in this paper, discusses the basic principles of the social force model, Analyzes the Inadequate of the model, and then join some of the new rules, Such as dynamic avoid behavior and pedestrian path planning, improved and optimized the algorithm, so the simulation becomes more veritably.Finally, In this paper, VC++ and QT are selected as the development tool, based on pedestrian dynamics model, the individual and peer group pedestrian simulation platform were developed, And then use the platform to simulate the crowd motion, comparative analyze the superiority and inferiority of improved model and the original model according to the simulation data obtained by simulation, In addition use the platform to simulate the large-scale pedestrian zones, demonstrated the dynamic evolution of population more vividly, Finally, several classical phenomenon derived from Helbing’s social force model are reproduced on the platform.
Keywords/Search Tags:pedestrian flow, social groups, social force model, Dynamic pedestrian avoidance algorithm, Path planning
PDF Full Text Request
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