本文關(guān)鍵詞： 個(gè)性 P-Durupinar情緒模型 P-SIS情緒感染模型 社會(huì)力模型 人群疏散　出處：《山東師范大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來(lái)我國(guó)突發(fā)事件頻發(fā),生命財(cái)產(chǎn)損失重大。如何快速安全地疏散人群具有重要意義�，F(xiàn)有數(shù)據(jù)大都從真實(shí)的日常演習(xí)獲得,突發(fā)事件中人群的行為和表現(xiàn)并不能完全真實(shí)的被反映。隨著科技發(fā)展,人群疏散仿真技術(shù)有效地克服了現(xiàn)有方法的不足。因此,采用計(jì)算機(jī)模擬群體運(yùn)動(dòng)具有重要意義�，F(xiàn)實(shí)的人群運(yùn)動(dòng)中大都會(huì)出現(xiàn)情緒感染現(xiàn)象,人群情緒(如恐慌、焦慮等)往往存在個(gè)體差異性,從而會(huì)對(duì)人群的情緒感染產(chǎn)生重要的影響。當(dāng)前人群疏散模型沒(méi)有考慮情緒和個(gè)性的影響,疏散結(jié)果與人群的真實(shí)行為有很大差異。針對(duì)上述問(wèn)題,首先本文提出基于個(gè)性化情緒感染的人群動(dòng)畫(huà)生成方法,該方法能夠生成更加逼真地人群動(dòng)畫(huà);其次本文提出一種面向人群疏散的情緒感染方法,該方法能夠生成更加真實(shí)的人群運(yùn)動(dòng)效果;最后本文構(gòu)建了一個(gè)群體運(yùn)動(dòng)仿真系統(tǒng)。本文的主要工作及創(chuàng)新點(diǎn)概況如下:1.針對(duì)人群動(dòng)畫(huà)不真實(shí)的問(wèn)題,提出一種基于個(gè)性化情緒感染的人群動(dòng)畫(huà)生成方法。該方法分成三部分:首先,建立了一個(gè)基于情緒感知因子的個(gè)性化Durupinar情緒感染模型(Personalized Durupinar,P-Durupinar),該模型能夠有效體現(xiàn)人群情緒的個(gè)體差異性;其次,將P-Durupinar情緒感染模型與人群運(yùn)動(dòng)耦合,結(jié)合相對(duì)速度障礙法(RVO),利用個(gè)性化情緒驅(qū)動(dòng)人群運(yùn)動(dòng);最后使用真實(shí)感的渲染方法生成人群動(dòng)畫(huà)。2.針對(duì)人群疏散仿真效果不真實(shí)的問(wèn)題,提出一種面向人群疏散的情緒感染方法。首先,該方法融合OCEAN個(gè)性模型和SIS情緒感染模型,建立個(gè)性化的SIS情緒感染模型(Personalized SIS,P-SIS)對(duì)人群運(yùn)動(dòng)中的情緒感染建模,該模型能夠有效地體現(xiàn)人群情緒的個(gè)體差異性;然后將P-SIS情緒感染模型與社會(huì)力模型耦合,對(duì)原社會(huì)力模型中的人群劃分,修正原社會(huì)力模型中個(gè)體的期望速度和運(yùn)動(dòng)趨向,模擬人群疏散過(guò)程中的情緒感染現(xiàn)象;最后使用真實(shí)感渲染的方法模擬人群疏散效果。3.構(gòu)建了一種關(guān)于群體運(yùn)動(dòng)的仿真系統(tǒng)。系統(tǒng)以Microsoft Visual Studio 2013為平臺(tái),引用XNA框架實(shí)現(xiàn)了人群動(dòng)畫(huà)、人群疏散和真實(shí)感渲染三個(gè)模塊的功能。其中人群動(dòng)畫(huà)模塊主要用于生成基于個(gè)性化情緒的人群動(dòng)畫(huà);人群疏散模塊主要模擬具有個(gè)體差異的人群運(yùn)動(dòng);真實(shí)感渲染模塊將上述兩個(gè)模塊得到的路徑信息導(dǎo)入真實(shí)感渲染平臺(tái)進(jìn)行人群運(yùn)動(dòng)效果展示。實(shí)驗(yàn)結(jié)果表明,本文方法體現(xiàn)了情緒感染的個(gè)體差異性,能夠生成更加逼真的人群動(dòng)畫(huà)和人群疏散效果,有較高的適用性,對(duì)危急情況下的群體疏散具有指導(dǎo)意義。
[Abstract]:In recent years, with the frequent occurrence of emergencies in our country, the loss of life and property is great. How to evacuate people quickly and safely is of great significance. Most of the available data are obtained from real daily exercises. With the development of science and technology, crowd evacuation simulation technology effectively overcome the shortcomings of existing methods. It is very important to use computer to simulate group movement. In real crowd movement, most of them appear emotional infection phenomenon, and there are individual differences in crowd emotion (such as panic, anxiety, etc.). This will have an important impact on the emotional infection of the crowd. The current evacuation model does not take into account the emotional and personality effects, and the evacuation results are very different from the real behavior of the crowd. Firstly, this paper proposes a method of generating crowd animation based on individualized emotion infection, which can generate more realistic crowd animation. Secondly, this paper puts forward a method of emotional infection for crowd evacuation, which can produce more real effect of crowd movement. Finally, this paper constructs a group motion simulation system. The main work and innovation of this paper are as follows: 1. Aiming at the problem that crowd animation is not true. A crowd animation generation method based on individualized emotional infection is proposed. The method is divided into three parts: first. A personalized Durupinar emotional infection model based on emotion perception factor (P-Durupinar) was established. The model can effectively reflect the individual differences of crowd emotion. Secondly, the P-Durupinar emotional infection model was coupled with the crowd movement, and the RVOA was combined with the relative speed disorder method, and the individualized emotion was used to drive the crowd movement. Finally, the realistic rendering method is used to generate crowd animation. 2. Aiming at the problem that the effect of crowd evacuation simulation is not real, a population-oriented emotional infection method is proposed. First of all. This method combines OCEAN personality model with SIS emotional infection model and establishes personalized SIS emotional infection model. P-SISs is used to model the emotional infection in the crowd movement, which can effectively reflect the individual difference of the crowd emotion. Then the P-SIS emotional infection model and the social force model are coupled to divide the population in the original social force model and modify the expected speed and movement trend of the individual in the original social force model. Simulating emotional infection during evacuation; Finally, a simulation system of crowd movement is constructed by using realistic rendering method to simulate crowd evacuation effect. The system is based on Microsoft Visual Studio. 2013 is the platform. The XNA framework is used to realize the functions of crowd animation, crowd evacuation and realistic rendering, among which the crowd animation module is mainly used to generate crowd animation based on individual emotion. The crowd evacuation module mainly simulates the crowd movement with individual difference. The realistic rendering module introduces the path information obtained from the above two modules into the realistic rendering platform for crowd motion effect display. The experimental results show that the method of this paper reflects the individual differences of emotional infection. It can produce more realistic crowd animation and crowd evacuation effect, which has higher applicability, and has guiding significance for emergency group evacuation.
【學(xué)位授予單位】：山東師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.9;C912.6

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