基于多智能體系統(tǒng)的應(yīng)急車輛路徑誘導(dǎo)策略研究
發(fā)布時間:2019-01-01 18:35
【摘要】:以協(xié)助應(yīng)急車輛通行為目的,從交叉口信號優(yōu)先控制與路徑誘導(dǎo)兩方面進行統(tǒng)一考慮,建立了基于多智能體系統(tǒng)(Multi-Agent System,MAS)的應(yīng)急車輛路徑誘導(dǎo)策略。應(yīng)用相位智能體和管理智能體實現(xiàn)應(yīng)急車輛在交叉口的信號優(yōu)先權(quán),在路段上提出了車載智能體和路段智能體,與交叉口兩智能體相協(xié)同,并以改進的Dijkstra算法為決策算法,共同完成應(yīng)急車輛路徑誘導(dǎo)過程。最后通過Starlogo軟件并借助Matlab完成了對應(yīng)急車輛誘導(dǎo)過程的驗證。仿真結(jié)果證明了該方法的有效性。
[Abstract]:For the purpose of assisting emergency vehicle traffic, a multi-agent system (Multi-Agent System,MAS) based emergency vehicle route guidance strategy is established by considering the intersection signal priority control and route guidance. The phase agent and the management agent are used to realize the signal priority of the emergency vehicle at the intersection. On the road section, the vehicle agent and the section agent are proposed to cooperate with the two agents at the intersection, and the improved Dijkstra algorithm is used as the decision algorithm. Joint completion of emergency vehicle route guidance process. Finally, the process of emergency vehicle guidance is verified by Starlogo software and Matlab. Simulation results show the effectiveness of the method.
【作者單位】: 武漢理工大學(xué)交通學(xué)院;
【基金】:教育部留學(xué)回國人員科研啟動基金“基于時間窗約束的實時交通網(wǎng)絡(luò)流應(yīng)急增載優(yōu)化研究”(44130041)
【分類號】:U491
本文編號:2397955
[Abstract]:For the purpose of assisting emergency vehicle traffic, a multi-agent system (Multi-Agent System,MAS) based emergency vehicle route guidance strategy is established by considering the intersection signal priority control and route guidance. The phase agent and the management agent are used to realize the signal priority of the emergency vehicle at the intersection. On the road section, the vehicle agent and the section agent are proposed to cooperate with the two agents at the intersection, and the improved Dijkstra algorithm is used as the decision algorithm. Joint completion of emergency vehicle route guidance process. Finally, the process of emergency vehicle guidance is verified by Starlogo software and Matlab. Simulation results show the effectiveness of the method.
【作者單位】: 武漢理工大學(xué)交通學(xué)院;
【基金】:教育部留學(xué)回國人員科研啟動基金“基于時間窗約束的實時交通網(wǎng)絡(luò)流應(yīng)急增載優(yōu)化研究”(44130041)
【分類號】:U491
【相似文獻】
相關(guān)期刊論文 前2條
1 夏冰,張佐,張毅,胡堅明;基于多智能體系統(tǒng)的動態(tài)路徑選擇算法研究[J];公路交通科技;2003年01期
2 ;[J];;年期
相關(guān)會議論文 前1條
1 賀晨龍;黃麗湘;張繼業(yè);;多車輛編隊協(xié)作控制[A];第十一屆全國非線性振動學(xué)術(shù)會議暨第八屆全國非線性動力學(xué)和運動穩(wěn)定性學(xué)術(shù)會議論文摘要集[C];2007年
相關(guān)碩士學(xué)位論文 前1條
1 高春艷;基于多智能體的高等級公路施工機群體系研究[D];河北工業(yè)大學(xué);2005年
,本文編號:2397955
本文鏈接:http://sikaile.net/kejilunwen/jiaotonggongchenglunwen/2397955.html
教材專著