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考虑同伴群的行人感知避让社会力改进模型 被引量:4

An Improved Social Force Model Considering Pedestrian Perception Avoidance Feature of Peer Groups
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摘要 为了提高人群行为模拟的真实性,针对现有社会力模型效果展现存在的行人间避让效果不佳以及个体、同伴群成员差异性避让行为刻画不足的问题,引入融入Agent的实时感知与动态避让算法对模型进行改进研究。基于面向对象的编程语言VC++,结合应用程序框架QT进行面向对象软件的设计与开发,最终搭建了行人仿真平台。通过行人运动状态参数的标定,实现了模型对行人步行行为更加真实的模拟,并进行了不同控制条件下单、双向行人流仿真试验。结果表明,改进模型能够更加真实地模拟冲突行人之间的避让,同伴群成员别于个体进行避让的行为特征得以体现;单向行人流的通行效率远高于双向行人流;避让行为的引入减缓了行人碰撞前后的速度变化,但降低了行人流的整体运动速度。 In order to improve the authenticity of simulation on behaviors of crowd,in view of the existing problems of poor avoidance effect between pedestrians and under-performance about the differential avoidance behaviors between individual and peer groups on existing social force model,the real-time perception and dynamic avoidance algorithm which is assimilates into Agent is introduced to improve the model.Based on object-oriented programming language VC + +,combining with application program framework QT to design and develop the object-oriented software,finally a pedestrian simulation platform is built.By calibrating pedestrian motion state parameters,the model can simulate the walking behaviors of pedestrians more realistically,and then the simulation experiments of one-way pedestrian flow and two-way pedestrian flows under different control conditions are carried out.The result indicates that(1) the improved model can more truly simulate the avoidance of conflict among pedestrians,the avoid behavioral characteristics of peer groups which are different from individuals can be realized;(2) one-way pedestrian flow is much more efficient than two-way pedestrian flows;(3) the introduction of avoidance behavior slowed down the velocity changes beforeand after pedestrian collision,but reduced the overall movement speed of pedestrian flow.
出处 《公路交通科技》 CAS CSCD 北大核心 2017年第3期125-130,共6页 Journal of Highway and Transportation Research and Development
基金 国家自然科学基金项目(51168023)
关键词 交通工程 冲突避让 社会力学模型 行人同伴群 交通流特征 traffic engineering conflict avoidance social force model pedestrian peer group traffic flow characteristics
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