滯后性選擇行為下的投影逐日動態(tài)分配模型研究
發(fā)布時間：2018-08-07 16:18
【摘要】：智能交通系統(tǒng)是未來交通系統(tǒng)的發(fā)展方向,其核心部分包括交通誘導(dǎo)與交通控制,其中動態(tài)交通流分配模型與算法的研究更是智能交通系統(tǒng)發(fā)展的關(guān)鍵技術(shù)。因此,通過研究動態(tài)交通流分配模型、算法,從而建立適當數(shù)學(xué)模型,可以為交通誘導(dǎo)和交通流預(yù)測的實現(xiàn)提供理論支撐,進而改善道路交通系統(tǒng)規(guī)劃。本文首先詳細介紹了國內(nèi)外研究現(xiàn)狀,包括動態(tài)交通配流理論、建模方法以及相關(guān)的動態(tài)系統(tǒng)理論。在詳細研究國內(nèi)外研究現(xiàn)狀的基礎(chǔ)上,從系統(tǒng)動力學(xué)的角度對出行者逐日動態(tài)路徑選擇過程進行了分析,重點闡述了系統(tǒng)逐日動態(tài)演化過程中的“滯后性”現(xiàn)象以及交通流演化滿足的最小勢能原理。在相關(guān)理論和前人研究基礎(chǔ)上,利用投影動態(tài)系統(tǒng)對逐日動態(tài)交通流演化的優(yōu)勢建立了基于“滯后性”選擇行為下的投影逐日動態(tài)分配模型。研究了“滯后性”選擇行為對動態(tài)交通流演化帶來的影響,證明推導(dǎo)了模型均衡點的存在性以及動態(tài)交通流收斂至UE平衡點。最后選取小型路網(wǎng)作為算例,驗證了投影模型下交通流逐日動態(tài)演化過程也滿足“最小勢能”原理,并對模型的參數(shù)和初始化條件問題進行了討論。
[Abstract]:Intelligent Transportation system (its) is the development direction of traffic system in the future. Its core part includes traffic guidance and traffic control. The research of dynamic traffic flow assignment model and algorithm is the key technology of its development. Therefore, by studying the dynamic traffic flow assignment model and algorithm, the appropriate mathematical model can be established, which can provide theoretical support for the realization of traffic guidance and traffic flow prediction, and then improve the road traffic system planning. Firstly, this paper introduces the current research situation at home and abroad, including dynamic traffic assignment theory, modeling method and related dynamic system theory. Based on the detailed study of the current research situation at home and abroad, this paper analyzes the daily dynamic path selection process of travelers from the point of view of system dynamics. The phenomenon of "lag" in the daily dynamic evolution of the system and the principle of minimum potential energy satisfied by the evolution of traffic flow are expounded. On the basis of relevant theories and previous studies, the projective dynamic assignment model based on "lag" selection behavior is established by using the advantage of projective dynamic system to the evolution of daily dynamic traffic flow. The influence of "lag" selection behavior on the evolution of dynamic traffic flow is studied. It is proved that the existence of equilibrium point and convergence of dynamic traffic flow to UE equilibrium point are derived. Finally, a small road network is selected as an example to verify that the daily dynamic evolution process of traffic flow under the projection model also meets the principle of "minimum potential energy", and the parameters and initialization conditions of the model are discussed.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U495
[Abstract]:Intelligent Transportation system (its) is the development direction of traffic system in the future. Its core part includes traffic guidance and traffic control. The research of dynamic traffic flow assignment model and algorithm is the key technology of its development. Therefore, by studying the dynamic traffic flow assignment model and algorithm, the appropriate mathematical model can be established, which can provide theoretical support for the realization of traffic guidance and traffic flow prediction, and then improve the road traffic system planning. Firstly, this paper introduces the current research situation at home and abroad, including dynamic traffic assignment theory, modeling method and related dynamic system theory. Based on the detailed study of the current research situation at home and abroad, this paper analyzes the daily dynamic path selection process of travelers from the point of view of system dynamics. The phenomenon of "lag" in the daily dynamic evolution of the system and the principle of minimum potential energy satisfied by the evolution of traffic flow are expounded. On the basis of relevant theories and previous studies, the projective dynamic assignment model based on "lag" selection behavior is established by using the advantage of projective dynamic system to the evolution of daily dynamic traffic flow. The influence of "lag" selection behavior on the evolution of dynamic traffic flow is studied. It is proved that the existence of equilibrium point and convergence of dynamic traffic flow to UE equilibrium point are derived. Finally, a small road network is selected as an example to verify that the daily dynamic evolution process of traffic flow under the projection model also meets the principle of "minimum potential energy", and the parameters and initialization conditions of the model are discussed.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U495
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