發(fā)布時(shí)間：2018-06-25 22:40

  本文選題：行人微觀仿真 + 社會力模型��； 參考：《昆明理工大學(xué)》2017年碩士論文

【摘要】：隨著全球大型活動(dòng)的頻繁組織和交通樞紐、體育館和商城等各類大型步行設(shè)施的建設(shè)規(guī)模不斷增大,設(shè)施內(nèi)人群擁擠現(xiàn)象也日益加劇,行人交通流的安全性、高效性和舒適性等問題受到越來越多的關(guān)注。行人微觀仿真是行人流再現(xiàn)和預(yù)測等研究的重要手段,為步行設(shè)施規(guī)劃和行人流組織管理提供指導(dǎo),本文在社會力模型的基礎(chǔ)上研究行人路徑選擇的行為特性,探究行人自組織的規(guī)律。本文從行人微觀仿真模型的模擬效果分項(xiàng)綜述著手,提出了集自組織現(xiàn)象、異質(zhì)人群(個(gè)體和同伴群)的模擬和全局路徑選擇功能于一體的微觀仿真模型框架。分別從行人視覺信息的作用和同伴群的角度改進(jìn)社會力模型,構(gòu)建行人局部路徑選擇模型,并引入基于最短路徑算法的全局路徑選擇模型。改進(jìn)模型仿真顯示,有視覺信息作用的模型弱化了仿真過程中震蕩效應(yīng),考慮同伴群的交流分組的模型較好重現(xiàn)了同伴群隨密度和人數(shù)增加的動(dòng)態(tài)分組現(xiàn)象。行人流特性分析表明,同伴群的存在會降低了行人流速度,但其影響強(qiáng)度隨人流密度的增加減弱;而同伴群動(dòng)態(tài)交流分組模型的引入會提升仿真行人流的通行效率,使之更加接近真實(shí)行人流的運(yùn)動(dòng)特性。最后建立路網(wǎng)對行人全局路徑選擇行為進(jìn)行仿真,結(jié)果發(fā)現(xiàn)行人交通量的水平是影響行人動(dòng)態(tài)選擇的主要影響因素,在低水平下行人首先考慮的是體力問題,但是當(dāng)行人交通量增大,行人在權(quán)衡體力、行走的舒適性和行走時(shí)間時(shí),更傾向于選擇行走舒適性高和時(shí)間短的路線。本研究完善了社會力模型的描述能力,豐富了行人流的特性,對未來的步行設(shè)施設(shè)計(jì)提供理論依據(jù)。
[Abstract]:With the frequent organization and transportation hub of global large-scale activities, the construction scale of various large-scale walking facilities, such as gymnasiums and shopping malls, has been increasing, the crowd congestion in the facilities is also increasing day by day, and the safety of pedestrian traffic flow is also increasing. More and more attention has been paid to the problems of high efficiency and comfort. Pedestrian microscopic simulation is an important means to study pedestrian flow reappearance and prediction. It provides guidance for pedestrian facilities planning and pedestrian flow organization and management. Based on the social force model, this paper studies the behavior characteristics of pedestrian path selection. Explore the rules of pedestrian self-organization. Based on the summary of the simulation effect of pedestrian micro simulation model, this paper presents a micro simulation model framework which integrates the self-organizing phenomenon, the simulation of heterogeneous population (individual and peer group) and the function of global path selection. From the perspective of visual information and peer group, the social force model is improved, and the local pedestrian path selection model is constructed, and the global path selection model based on the shortest path algorithm is introduced. The improved model simulation shows that the visual information model weakens the oscillation effect in the simulation process, and the dynamic grouping phenomenon of peer group with increasing density and number of peers is well reproduced by the model considering the group of peers. The analysis of pedestrian flow characteristics shows that the presence of peer group will reduce the speed of pedestrian flow, but its influence intensity will weaken with the increase of passenger flow density, and the introduction of dynamic AC grouping model of peer group will improve the efficiency of simulating pedestrian flow. So that it is closer to the movement characteristics of the real pedestrian flow. Finally, the road network is established to simulate the overall path selection behavior of pedestrians. The results show that the level of pedestrian traffic volume is the main influencing factor of pedestrian dynamic selection, and the physical strength is the first consideration for pedestrians at low level. However, when the pedestrian traffic volume increases, pedestrians are more inclined to choose the route with high comfort and short time when weighing their physical strength, walking comfort and walking time. The research improves the description ability of social force model, enriches the characteristics of pedestrian flow, and provides theoretical basis for the design of walking facilities in the future.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：U491

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本文編號：2067819