【摘要】：全自動(dòng)運(yùn)行系統(tǒng)(Fully Automatic Operation,簡稱FAO),是以現(xiàn)代信息技術(shù)提升運(yùn)行服務(wù)水平為目的的新一代城市軌道交通系統(tǒng),已成為國際公認(rèn)的主流發(fā)展方向之一。高等級(jí)自動(dòng)化系統(tǒng)的應(yīng)用會(huì)使人機(jī)功能得到重新分配,特別是當(dāng)運(yùn)營中出現(xiàn)緊急狀況,運(yùn)營單位采取的應(yīng)急處置相比與傳統(tǒng)大有不同,因此需要重新研究適合FAO的應(yīng)急處置策略。應(yīng)急處置作為軌道交通運(yùn)營過程中的重要環(huán)節(jié),處置策略通常需要各專業(yè)根據(jù)經(jīng)驗(yàn)聯(lián)合攻關(guān)制定,但由于城市軌道交通的復(fù)雜性,進(jìn)行真實(shí)應(yīng)急場景演練的難度較大,因此需要構(gòu)建特定的仿真環(huán)境進(jìn)行策略驗(yàn)證。針對于此需求,本文將根據(jù)全自動(dòng)運(yùn)行系統(tǒng)應(yīng)急處置特點(diǎn),選用合適的方法建立應(yīng)急處置抽象模型,完成應(yīng)急處置仿真平臺(tái)的開發(fā),并設(shè)計(jì)科學(xué)的評(píng)價(jià)體系,實(shí)現(xiàn)對應(yīng)急策略的驗(yàn)證分析。本文具體研究工作如下:(1)根據(jù)全自動(dòng)運(yùn)行系統(tǒng)的結(jié)構(gòu)特點(diǎn),分析系統(tǒng)設(shè)備和組織人員架構(gòu)的變化,理解全自動(dòng)運(yùn)行系統(tǒng)下軌道交通的運(yùn)營過程,深入提煉具有仿真意義的應(yīng)急場景,明確仿真的內(nèi)容和需求。(2)研究多智能體(Multi-Agent System,簡稱MAS)建模方法,將應(yīng)急處置中的參與對象抽象成中心調(diào)度、乘客、列車、現(xiàn)場處置員和線路五類Agent,并構(gòu)建中心、車站和列車三層仿真架構(gòu)�；谙鄳�(yīng)的基礎(chǔ)原理,對每一類Agent的感知、決策和行動(dòng)等屬性進(jìn)行定義,確定Agent之間的交互方式和內(nèi)容,最終完成全自動(dòng)運(yùn)行系統(tǒng)應(yīng)急處置仿真模型的構(gòu)建。(3)基于MAS模型和北京燕房線數(shù)據(jù),利用Anylogic仿真工具開發(fā)全自動(dòng)運(yùn)行系統(tǒng)應(yīng)急處置仿真平臺(tái)。平臺(tái)具有良好的人機(jī)交互界面,可實(shí)現(xiàn)控制應(yīng)急進(jìn)程,動(dòng)態(tài)跟蹤交互信息,三維顯示處置過程和關(guān)鍵數(shù)據(jù)管理的功能。(4)結(jié)合仿真平臺(tái)的輸出結(jié)果,對指標(biāo)進(jìn)行具體定義與量化,利用層次分析法構(gòu)建全自動(dòng)運(yùn)行系統(tǒng)應(yīng)急處置策略評(píng)價(jià)體系。最后以列車區(qū)間迫停場景為例,分析應(yīng)急策略,并結(jié)合評(píng)價(jià)結(jié)果為運(yùn)營提供決策支持和建議。
[Abstract]:Automatic operating system (Fully Automatic Operation,) is a new generation of urban rail transit system, which aims at improving the level of operation service by modern information technology. It has become one of the internationally recognized mainstream development directions. The application of high-grade automation systems will result in the redistribution of man-machine functions, especially when there is an emergency in operation, and the emergency disposal taken by the operating unit is quite different from the traditional one. Therefore, it is necessary to re-study the emergency response strategy suitable for FAO. Emergency disposal is an important link in the operation of rail transit. The disposal strategy usually needs to be worked out according to the experience. However, due to the complexity of urban rail transit, it is difficult to carry out real emergency scene drills. Therefore, it is necessary to build a specific simulation environment for policy verification. In order to meet this demand, according to the characteristics of automatic operation system emergency disposal, this paper will select appropriate methods to establish the abstract model of emergency disposal, complete the development of emergency disposal simulation platform, and design a scientific evaluation system. Implementation of the emergency strategy validation analysis. The specific research work of this paper is as follows: (1) according to the structural characteristics of the automatic operation system, the changes of system equipment and organization personnel structure are analyzed, and the operation process of rail transit under the automatic operation system is understood. The contents and requirements of simulation are clarified. (2) the modeling method of Multi-Agent System, (MAS) is studied to abstract the participants in emergency management into central dispatching, passengers, trains, etc. Field handlers and line five types of Agent, and build the center, station and train three-tier simulation framework. Based on the corresponding basic principles, the perception, decision and action attributes of each Agent are defined, and the interaction mode and content between Agent are determined. (3) based on the MAS model and the Beijing Yanfang line data, the Anylogic simulation tool is used to develop the simulation platform of the automatic operation system emergency disposal. The platform has a good man-machine interface, can control the emergency process, dynamically track interactive information, three-dimensional display and disposal process and key data management functions. (4) combined with the output results of the simulation platform, the specific definition and quantification of the indicators are carried out. The evaluation system of emergency management strategy of automatic operation system is constructed by AHP. Finally, the emergency strategy is analyzed with the example of train interval forced stopping scene, and the decision support and suggestions are provided for the operation combined with the evaluation results.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.9;U298

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李昌宇;李季濤;宋小滿;周茵;;基于從眾心理的城市軌道交通站內(nèi)應(yīng)急疏散仿真研究[J];鐵道運(yùn)輸與經(jīng)濟(jì);2016年09期

2 董皓;康會(huì)峰;廖琦;李璇;;基于多智能體的城市軌道交通列車延誤仿真模型及應(yīng)用[J];都市快軌交通;2016年03期

3 王志強(qiáng);;基于事件驅(qū)動(dòng)的城市軌道交通應(yīng)急處置微觀仿真系統(tǒng)[J];城市軌道交通研究;2015年11期

4 張艷兵;王道敏;肖衍;;城市軌道交通全自動(dòng)駕駛的發(fā)展與思考[J];鐵道運(yùn)輸與經(jīng)濟(jì);2015年09期

5 于力鵬;劉箴;劉婷婷;劉翠娟;劉邦權(quán);;一種基于速度采樣的恐慌人群情緒感染模型[J];計(jì)算機(jī)應(yīng)用研究;2015年10期

6 ;首批無人駕駛地鐵列車將駛?cè)氡本┭喾烤�[J];現(xiàn)代城市軌道交通;2014年05期

7 蔣萬軍;白雪梅;;大型綜合交通樞紐流線組織設(shè)計(jì)[J];都市快軌交通;2014年04期

8 宋傳龍;;基于CBTC控制的列車全自動(dòng)駕駛系統(tǒng)(FA0)的發(fā)展及應(yīng)用[J];電子世界;2014年03期

9 雷斌;;新加坡地鐵安全應(yīng)對策略對我國的思考[J];河南科技;2013年08期

10 王子甲;陳峰;施仲衡;;基于Agent的社會(huì)力模型實(shí)現(xiàn)及地鐵通道行人仿真[J];華南理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2013年04期

相關(guān)碩士學(xué)位論文 前8條

1 趙立靜;基于多Agent的閉環(huán)供應(yīng)鏈建模與仿真研究[D];燕山大學(xué);2016年

2 辛?xí)悦?城市軌道交通車站應(yīng)急疏散研究[D];北京交通大學(xué);2015年

3 陳露;地鐵調(diào)度指揮應(yīng)急演練仿真系統(tǒng)的研究與設(shè)計(jì)[D];西南交通大學(xué);2014年

4 高童欣;城軌交通樞紐站應(yīng)急疏散若干問題的計(jì)算實(shí)驗(yàn)[D];北京交通大學(xué);2014年

5 曹志超;網(wǎng)絡(luò)條件下城市軌道交通突發(fā)大客流演化機(jī)理和應(yīng)急策略研究[D];北京交通大學(xué);2013年

6 聞千;網(wǎng)絡(luò)化運(yùn)營條件下城市軌道交通應(yīng)急指揮管理評(píng)價(jià)方法研究[D];西南交通大學(xué);2013年

7 彭大天;基于UML和UPPAAL的FAO系統(tǒng)典型運(yùn)營場景的建模與驗(yàn)證[D];北京交通大學(xué);2013年

8 張卓;基于MAS的VMI系統(tǒng)建模與仿真[D];青島大學(xué);2004年

，

本文編號(hào)：2270904