本文選題：交通工程 + 交通誘導�。� 參考：《北京科技大學》2015年博士論文

【摘要】：目前交通行業(yè)面臨的主要熱點問題有擁堵問題;供需問題；效率問題；綠色交通問題等。以這些問題為基礎,論文以城市交通系統(tǒng)控制與誘導(Urbantraffic control and guidance system, UTCGS)為研究對象,運用信息物理系統(tǒng)(Cyber-physical system, CPS)理論將城市交通流誘導系統(tǒng)(Urban traffic flow guidance system, UTFGS)與城市交通信號控制系統(tǒng)(Urban traffic control system, UTCS)融合。融合研究同一UTFGS與UTCS的交通時空因素,以達到系統(tǒng)優(yōu)化目標,利于消除擁堵；考慮人機因素提高誘導接受率,以達到誘導目標,平衡供需；調(diào)整UTCS以降低延誤,以達到控制目標,提高效率；以系統(tǒng)優(yōu)化目標、誘導目標、控制目標為基礎,考慮節(jié)能減排目標,以達到總融合目標,利于綠色交通出行。 論文的主要研究內(nèi)容和創(chuàng)新點： (1)根據(jù)UTCS與UTFGS的沖突性及解決方案,從計算、通訊及控制(Computing, Communication and Control,3C)技術層面對UTCGS進行劃分,建立了一種基于CPS理論的UTCGS融合框架。 (2)為避免多車誘導導致的擁堵,同時滿足駕駛員出行需求,本文單車誘導算法融合系統(tǒng)優(yōu)化目標和單車誘導目標。針對路網(wǎng)交通狀況不確定性問題,單車誘導方式分為全局式和步進式。 (3)針對多車誘導導致的擁堵問題,考慮駕駛員出行需求,提出了一種提高誘導接受率的交通系統(tǒng)誘導算法。本文系統(tǒng)誘導算法同時達到系統(tǒng)優(yōu)化目標和誘導目標。 (4)針對節(jié)能減排的總融合目標,研究了同一交通系統(tǒng)時間和空間因素的UTCGS的融合算法。在論文系統(tǒng)誘導算法的基礎上,融合算法增加了以降低延誤為目標的UTCS。融合算法同時達到系統(tǒng)優(yōu)化目標、誘導目標、控制目標和總融合目標。 UTFGS融合研究為解決城市交通問題提供了新的視角和方法,具有一定的的理論參考和實踐指導意義。
[Abstract]:At present, the main hot issues facing the transportation industry are congestion, supply and demand, efficiency, green traffic and so on. Based on these problems, the paper takes urban traffic control and guidance system, (UTCGS) as the research object. Based on the theory of Cyber-physical system (CPS), Urban traffic flow guidance system, UTFGS is combined with Urban traffic control system, UTCS. Fusion study of the same UTFGS and UTCS traffic space-time factors, in order to achieve the goal of system optimization, conducive to eliminate congestion; consider man-machine factors to improve the inductive acceptance rate to achieve the goal of guidance, balance supply and demand; adjust UTCS to reduce delay, In order to achieve the goal of control, improve efficiency, on the basis of system optimization goal, guidance goal, control goal, consider the goal of energy saving and emission reduction, in order to achieve the total integration goal, which is conducive to green traffic travel. The main research contents and innovations of this paper are as follows: (1) according to the conflict between UTCs and UTFGs and their solutions, UTCGS is divided from the technical level of calculation, Communication and Control 3C. A UTCGS fusion framework based on CPS theory is established. (2) in order to avoid the congestion caused by multi-vehicle induction and to meet the needs of drivers, the single vehicle guidance algorithm fusion system optimization goals and single vehicle guidance targets are proposed. In view of the uncertainty of road network traffic condition, bicycle guidance is divided into global and stepwise. (3) considering the problem of congestion caused by multi-vehicle guidance, drivers' travel needs are taken into account. In this paper, a new guidance algorithm for traffic system is proposed. In this paper, the system guidance algorithm achieves both the system optimization and guidance goals. (4) aiming at the total fusion goal of energy saving and emission reduction, the fusion algorithm of UTCGS with the same traffic system time and space factors is studied. On the basis of the system induction algorithm in this paper, the fusion algorithm adds UTCS aimed at reducing delay. The fusion algorithm simultaneously achieves the system optimization goal, the guidance goal, the control target and the total fusion target. The research of UTFGS fusion provides a new perspective and method for solving the urban traffic problem. It has certain theoretical reference and practical guiding significance.
【學位授予單位】：北京科技大學
【學位級別】：博士
【學位授予年份】：2015
【分類號】：U495

【參考文獻】

相關期刊論文 前10條

1 趙俊華;文福拴;薛禹勝;李雪;董朝陽;;電力CPS的架構及其實現(xiàn)技術與挑戰(zhàn)[J];電力系統(tǒng)自動化;2010年16期

2 趙俊華;文福拴;薛禹勝;董朝陽;;電力信息物理融合系統(tǒng)的建模分析與控制研究框架[J];電力系統(tǒng)自動化;2011年16期

3 曹政才;韓丁富;喬非;;基于新型路網(wǎng)模型的路徑尋優(yōu)方法研究[J];電子學報;2012年04期

4 李瑞敏,史其信;基于多智能體系統(tǒng)的城市交通控制與誘導集成化研究[J];公路交通科技;2004年05期

5 陳昕;楊兆升;王海洋;劉新杰;王彥新;;城市交通控制與誘導系統(tǒng)協(xié)同研究[J];公路交通科技;2007年04期

6 陳昕;楊兆升;王海洋;劉新杰;苗曉坤;;基于城市交通流自組織性的UTCS與UTFGS協(xié)同理論分析[J];公路交通科技;2007年10期

7 張毅華;陳森發(fā);;緊急事件下疏散元胞傳輸宏觀模型研究[J];公路交通科技;2010年01期

8 葛艷;王健;孟友新;江峰;;車輛導航動態(tài)路徑規(guī)劃的研究進展[J];公路交通科技;2010年11期

9 王鵬;向陽;宗宇偉;張騏;;基于時空π-演算的信息物理融合系統(tǒng)組件可替換性判定[J];電子與信息學報;2012年10期

10 崔建勛;安實;崔娜;;基于元胞傳輸模型的區(qū)域疏散動態(tài)交通分配[J];哈爾濱工業(yè)大學學報;2010年01期

，

本文編號：2109480