本文選題：行人交通 + 同伴群�。� 參考：《北京交通大學(xué)》2014年碩士論文

【摘要】：摘要：隨著社會經(jīng)濟(jì)快速發(fā)展,城市化進(jìn)程不斷加快,人們出行方式呈現(xiàn)多元化,行人可選擇多種交通方式出行,但是絕大多數(shù)出行的開始與結(jié)束都是以步行完成。步行交通在各種交通方式中有其不可替代的作用,同時(shí)步行交通也引發(fā)了多類新的交通問題。許多公共場所如車站、行人通道、過街天橋、交通樞紐等處行人擁堵現(xiàn)象屢見不鮮,導(dǎo)致行人出行不便,出行延誤較長,出行安全性降低。由此,國內(nèi)外相關(guān)機(jī)構(gòu)、單位及個(gè)人均紛紛開展行人交通特性的研究,以期掌握行人交通的宏觀及微觀特征,了解行人行為機(jī)理,對行人交通進(jìn)行規(guī)劃管理,提升行人交通效率,增強(qiáng)安全性以及減小行人對其他交通方式的影響。 本文在綜述行人交通研究現(xiàn)狀的基礎(chǔ)上,對于同伴群行人交通進(jìn)行研究,以求進(jìn)一步豐富和完善行人交通流的研究體系。同時(shí),在分析研究的基礎(chǔ)上,建立基于社會力的同伴群走行模型。該模型在2002年Helbing社會力模型的基礎(chǔ)上,補(bǔ)充考慮同伴群成員間的視覺力、聚合力及排斥力,進(jìn)而利用計(jì)算機(jī)仿真技術(shù),研究同伴群行人的特性及對交通的影響。 本文對下列幾個(gè)問題進(jìn)行分析研究： (1)行人交通特性分析研究 分析行人交通微觀、宏觀特性,研究了行人交通流參數(shù)及各參數(shù)之間的關(guān)系,以及同伴群行人的交通特性。 (2)基于社會力的同伴群走行模型構(gòu)建及應(yīng)用 對社會力模型的定義、構(gòu)成、特征進(jìn)行分析,從而把握社會力模型機(jī)理。基于對同伴群行人交通特性的研究總結(jié),定義同伴群走行模型,借助MATLAB,實(shí)現(xiàn)基于社會力模型的仿真環(huán)境開發(fā),對同伴群行人交通進(jìn)行仿真研究。 (3)同伴群行人對整體交通流宏觀特性的影響 借助MATLAB開發(fā)的基于社會力模型的仿真環(huán)境,對是否考慮同伴群出行及對行人群體含有不同比例同伴群,同伴群內(nèi)含不同人員數(shù)等情景進(jìn)行仿真分析,由此得出同伴群行人較個(gè)體行人,影響交通流速度更大的結(jié)論,為更全面分析行人交通流提供了更好的支持。
[Abstract]:Absrtact: with the rapid development of social economy and the accelerating process of urbanization, people travel in a variety of ways, pedestrians can choose a variety of traffic modes to travel, but most of the trips start and end on foot. Walking traffic plays an irreplaceable role in various modes of transportation, and at the same time, it also causes many kinds of new traffic problems. In many public places, such as stations, pedestrian passageways, overpasses and traffic hubs, pedestrian congestion is common, which leads to the inconvenience of pedestrian travel, long travel delay and reduced travel safety. As a result, relevant institutions, units and individuals at home and abroad have carried out research on pedestrian traffic characteristics in order to grasp the macro and micro characteristics of pedestrian traffic, understand the pedestrian behavior mechanism, and plan and manage pedestrian traffic. Improve pedestrian traffic efficiency, enhance safety and reduce pedestrian impact on other modes of traffic. On the basis of summarizing the present situation of pedestrian traffic research, this paper studies the pedestrian traffic of peer group in order to further enrich and perfect the research system of pedestrian traffic flow. At the same time, on the basis of analysis and research, a peer group walking model based on social force is established. Based on the Helbing social force model in 2002, this model takes into account the visual force, cohesion and repulsive force among peer group members, and then uses computer simulation technology to study the characteristics of peer group pedestrians and their effects on traffic. This paper analyzes the following problems: Analysis of pedestrian traffic characteristics The microscopic and macroscopic characteristics of pedestrian traffic are analyzed, and the relationship between pedestrian flow parameters and various parameters, as well as the traffic characteristics of peer groups of pedestrians are studied. Construction and Application of Peer Group Walking Model based on Social Force The definition, composition and characteristics of social force model are analyzed to grasp the mechanism of social force model. Based on the summary of the research on the pedestrian traffic characteristics of peer group, the peer group walking model is defined, and the simulation environment based on social force model is developed by MATLAB to simulate the pedestrian traffic of peer group. 3) the influence of peer group pedestrians on the macroscopic characteristics of overall traffic flow With the help of the simulation environment based on social force model developed by MATLAB, the simulation analysis of whether to consider peer group travel and to have different proportion of peer group to pedestrian group and different number of people in peer group are carried out. The conclusion that the pedestrian of peer group has more influence on the speed of traffic flow than that of individual pedestrian provides a better support for a more comprehensive analysis of pedestrian traffic flow.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.226

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