【摘要】：為了提高人群行為模擬的真實性,針對現(xiàn)有社會力模型效果展現(xiàn)存在的行人間避讓效果不佳以及個體、同伴群成員差異性避讓行為刻畫不足的問題,引入融入Agent的實時感知與動態(tài)避讓算法對模型進行改進研究�；诿嫦�?qū)ο蟮木幊陶Z言VC++,結(jié)合應(yīng)用程序框架QT進行面向?qū)ο筌浖脑O(shè)計與開發(fā),最終搭建了行人仿真平臺。通過行人運動狀態(tài)參數(shù)的標定,實現(xiàn)了模型對行人步行行為更加真實的模擬,并進行了不同控制條件下單、雙向行人流仿真試驗。結(jié)果表明,改進模型能夠更加真實地模擬沖突行人之間的避讓,同伴群成員別于個體進行避讓的行為特征得以體現(xiàn);單向行人流的通行效率遠高于雙向行人流;避讓行為的引入減緩了行人碰撞前后的速度變化,但降低了行人流的整體運動速度。
[Abstract]:In order to improve the authenticity of crowd behavior simulation, aiming at the problem that the effect of existing social force model shows that the pedestrian avoidance effect is not good and the difference avoidance behavior of individuals and peer group members is insufficient, The real-time perception and dynamic avoidance algorithm integrated with Agent is introduced to improve the model. Based on the object-oriented programming language VC and the application framework QT, the object-oriented software is designed and developed, and finally the pedestrian simulation platform is built. Through the calibration of pedestrian motion state parameters, the model is used to simulate the pedestrian behavior more realistically, and the orders and bidirectional pedestrian flow simulation experiments are carried out under different control conditions. The results show that the improved model can simulate the avoidance between collision pedestrians more realistically, and the behavior characteristics of peer group members are different from those of individuals, and the traffic efficiency of one-way pedestrian flow is much higher than that of two-way pedestrian flow. The introduction of avoidance behavior slows down the speed change before and after pedestrian collision, but reduces the overall movement speed of pedestrian flow.
【作者單位】： 昆明理工大學(xué)交通工程學(xué)院;昆明市規(guī)劃設(shè)計研究院;昆明軌道交通集團有限公司;洛陽市規(guī)劃建筑設(shè)計研究院有限公司;
【基金】：國家自然科學(xué)基金項目(51168023)
【分類號】：U491
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本文編號：2482719