基于Agent的微觀(guān)交通仿真系統(tǒng)研究
[Abstract]:With the development of economy and the improvement of people's living standard, there are more and more influence factors in the transportation system. This makes it very difficult to explore the traffic optimization scheme in the actual traffic environment. In the face of this problem, it is an effective method to use computer related technology to simulate the operation of traffic system. Based on the research and induction of vehicle model structure, relevant data and driving behavior principle in actual traffic system, the Agent model of vehicle is established, and the model and behavior model of vehicle are established in this paper. At the same time, through the analysis of the road network elements in the actual traffic system, a good adaptive road network description model is established. In the convenient and friendly man-machine interface, the simulation of the traffic running process is realized under the changeable traffic environment. At the same time, the data in the simulation process are recorded to facilitate the analysis. Finally, it can provide data and other reference for optimizing traffic scheme. Firstly, the static model of the simulation system is arranged, including the vehicle Agent model, traffic rules and road network description model. By abstracting and simplifying the actual vehicle and considering the characteristics of Agent, the physical model of the vehicle Agent is established, which can accurately represent the complex and diverse vehicle composition in the actual traffic system. Then the road network elements in the actual traffic system are modeled. The road network elements can be divided into several categories according to the different geometric characteristics, and can form a variety of two-lane road network description files through free combination. At the same time, the traffic control elements can be added to the corresponding parts, the road network description files can be edited, and the attributes of the traffic control elements can be controlled and modified at the same time, so that the motion simulation under different traffic control conditions can be realized conveniently. On this basis, several common traffic rules are sorted out and modeled. Secondly, the models involved in the simulation system are modeled, including vehicle generation, vehicle behavior and the implementation of the path algorithm. By assigning different random states to the vehicle at the time of its occurrence, the performance of the vehicle is more similar to that of the real traffic system. Then, three typical behaviors are selected, their behavior models are analyzed, described and discussed, and their decision implementation is discussed by using the characteristics of Agent. Then the fixed path and the shortest path algorithm priority are set in the system, the former has high priority. Finally, the traffic simulation system is designed and implemented, including map editing module and simulation control module. In the map editing module, in addition to the normal drawing function of road network elements, rotation, deletion and replacement of network elements are also set up to realize road network description in a more flexible and diverse way. The corresponding function of controlling the simulation process is set up in the simulation control module. By using the simulation system to simulate the actual cases, it is proved that the system can meet the needs of the simulation in common traffic environment, and can provide the corresponding data, and draw a conclusion to support the optimization and improvement of the actual traffic system.
【學(xué)位授予單位】:華中科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類(lèi)號(hào)】:U491
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 孫莉;袁愷瞳;李睿;;基于Vissim的城市公交專(zhuān)用道設(shè)置研究[J];交通科技與經(jīng)濟(jì);2013年01期
2 李蕊;李偉;吳勇;;日本智能交通系統(tǒng)介紹及其借鑒[J];中國(guó)交通信息化;2011年01期
3 許倫輝;羅強(qiáng);吳建偉;黃艷國(guó);;基于最小安全距離的車(chē)輛跟馳模型研究[J];公路交通科技;2010年10期
4 鄒智軍;;新一代交通仿真技術(shù)綜述[J];系統(tǒng)仿真學(xué)報(bào);2010年09期
5 王永明;;基于元胞自動(dòng)機(jī)的道路交通堵塞仿真研究[J];系統(tǒng)仿真學(xué)報(bào);2010年09期
6 耿彥斌;張雪蓮;;關(guān)于我國(guó)交通仿真技術(shù)發(fā)展戰(zhàn)略的思考[J];現(xiàn)代交通技術(shù);2010年04期
7 張奇;商蕾;;面向微觀(guān)交通仿真的路網(wǎng)建模模塊實(shí)現(xiàn)方法[J];交通信息與安全;2010年03期
8 田翠華;于天放;劉革;;基于Agent技術(shù)的交通流仿真研究[J];計(jì)算機(jī)技術(shù)與發(fā)展;2010年02期
9 魏峗;韓印;范炳全;張右升;;基于多智能體和元胞自動(dòng)機(jī)的微觀(guān)交通仿真系統(tǒng)建模[J];上海理工大學(xué)學(xué)報(bào);2009年03期
10 周力;李煒;;我國(guó)智能交通控制系統(tǒng)的發(fā)展及展望[J];自動(dòng)化與儀器儀表;2009年02期
相關(guān)碩士學(xué)位論文 前1條
1 王雷;基于多源信息融合的駕駛員跟車(chē)行為研究[D];山東理工大學(xué);2007年
,本文編號(hào):2400760
本文鏈接:http://sikaile.net/kejilunwen/daoluqiaoliang/2400760.html