發(fā)布時(shí)間：2018-07-21 14:29

【摘要】：隨著科技的飛速發(fā)展,社會(huì)普遍生活水平的逐漸提高,家家戶戶都擁有小汽車(chē),給人們帶來(lái)了很大的方便。然而在大城市里,因擁有的車(chē)輛數(shù)過(guò)多,道路供不應(yīng)求,導(dǎo)致交通擁擠頻頻發(fā)生,給社會(huì)帶來(lái)重大的損失。引起人們對(duì)交通擁擠的廣大關(guān)注,為了更好地緩解城市的交通擁擠,就需要從根源開(kāi)始探討了。交通擁堵主要是由確定事件和隨機(jī)事件引起的,對(duì)于確定事件而言如上下班高峰期,通過(guò)合適的數(shù)學(xué)建模是可以最大化的利用現(xiàn)有道路來(lái)緩解擁堵情況,主要受限于道路本身的負(fù)載量,只能通過(guò)提高硬件設(shè)施來(lái)優(yōu)化,在本論文中不做太多討論；對(duì)于隨機(jī)事件如突發(fā)的交通事故,由于發(fā)生事故的時(shí)間、地點(diǎn),都是屬于未知的,從而無(wú)法按常規(guī)的方法來(lái)解決即便道路的負(fù)載量遠(yuǎn)大于通行車(chē)輛,也是不可避免的,而這種隨機(jī)事件給道路交通帶來(lái)嚴(yán)重的威脅,目前都是由交警親自上線,指揮疏散來(lái)緩解交通擁擠的,因此一起交通事故可能導(dǎo)致4到8個(gè)小時(shí)的交通擁堵,甚至交通癱瘓。本論文針對(duì)城市這種突發(fā)性交通擁堵,探討一種新型的多智能體交通系統(tǒng),該系統(tǒng)為了減少城市的這種突發(fā)性交通性擁堵使整個(gè)城市路網(wǎng)的通行力滯后,實(shí)現(xiàn)實(shí)時(shí)監(jiān)控各個(gè)路口的通行情況,在第一時(shí)間內(nèi)找到發(fā)生突發(fā)性的交通擁堵的地點(diǎn),也就是路口。并利用GA算法構(gòu)建的智能體在線指揮信號(hào)燈打破常規(guī)的相位和周期信號(hào)控制,并協(xié)調(diào)多個(gè)智能體相互配合快速建立動(dòng)態(tài)的分流路線,使上游車(chē)流量得到及時(shí)的指揮分配到合適的道路上去,避免更多的車(chē)輛融入到交通擁擠路段導(dǎo)致堵上加堵,也能及時(shí)阻止擁堵快速傳播到整個(gè)交通網(wǎng)中。本論文通過(guò)利用Visual Baisc 6.0和 VISSIM4.3軟件,搭建了虛擬的智能交通系統(tǒng)仿真平臺(tái),驗(yàn)證了該系統(tǒng)是可以有效的提高道路通行率的。
[Abstract]:With the rapid development of science and technology and the gradual improvement of the standard of living in the society, every household owns cars and brings great convenience to people. However, in the big cities, the number of vehicles and the shortage of roads lead to the heavy traffic congestion and the great loss to the society. In order to better alleviate urban traffic congestion, it is necessary to start from the origin of the traffic congestion. Traffic congestion is mainly caused by the determination of events and random events. For the determination of events, such as rush hour at work, through appropriate mathematical modeling, it is possible to maximize the use of existing roads to alleviate congestion, mainly limited to The load of the road itself can only be optimized by improving the hardware facilities, not too much discussion in this paper. For random events such as sudden traffic accidents, the time and location of the accident are unknown, which can not be solved according to the conventional way that the load of the road road is far greater than the passing vehicle. This random event poses a serious threat to road traffic. At present, the traffic traffic traffic traffic congestion can be caused by traffic traffic congestion and even traffic paralysis. This paper deals with a new type of traffic congestion in the city. In order to reduce the traffic congestion caused by the sudden traffic congestion in the city, the system can reduce the traffic capacity of the whole urban road network, and realize the real time monitoring of the traffic situation of each intersection. In the first time, it finds the place where the sudden traffic congestion occurs, that is, the intersection. And the GA algorithm is used to construct the online command letter of the agent. The lamp breaks the conventional phase and periodic signal control, and coordinates multiple agents to cooperate with each other quickly to establish a dynamic distributary route, so that the flow of the upstream vehicle can be assigned to the appropriate road in a timely manner, avoiding more vehicles being integrated into the traffic congestion section and blocking the traffic jam, and can also prevent the congestion quickly spread to the whole. In this paper, a virtual intelligent transportation system simulation platform is built by using Visual Baisc 6 and VISSIM4.3 software, which proves that the system can effectively improve the road traffic rate.
【學(xué)位授予單位】：長(zhǎng)沙理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：U495

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

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本文編號(hào)：2135826