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基于駕駛行為的交叉口混合交通流建模研究

發(fā)布時間:2018-08-17 08:50
【摘要】:當(dāng)前中國城市交通的一個顯著特征是機非交通流高度混合。由于國外的單純機動車流與我國混合交通流差別很大,特別是在道路交叉口機動車、非機動車、行人相互干擾,致使道路通行能力嚴(yán)重下降,因此建立符合我國交通實際情況的交叉口機動車與非機動車微觀仿真模型,不僅在理論上能夠進一步促進交通流理論的完善和發(fā)展,而且在實踐中還能夠開發(fā)符合我國混合交通特征的交通仿真平臺。本文采用元胞自動機模型將駕駛員行為選擇引入演化規(guī)則,建立交叉口處機動車和非機動車混合交通流模型,不僅可以揭示機非混合交通在交叉口相互沖突的內(nèi)在機理,還可以模擬機非混合交通下機動車和非機動車駕駛員的決策行為,具有重要的現(xiàn)實意義。論文首先闡述了研究背景。從機非沖突研究現(xiàn)狀、駕駛員行為研究現(xiàn)狀和混合交通流模型研究現(xiàn)狀三個方面論述了目前國內(nèi)外研究成果,在此基礎(chǔ)上設(shè)計了論文的研究路線。然后,研究了交叉口處右轉(zhuǎn)機動車和非機動車的交通特性,重點分析了右轉(zhuǎn)機動車跟馳特性和穿越非機動車行為;非機動車在路段和交叉口運行特性,以及非機動車穿越機動車行為。最后,將交叉口離散化,劃定元胞空間和元胞尺寸,制定機動車在路段、決策點和啟動點處的行駛規(guī)則,以及非機動車行駛規(guī)則。基于以上規(guī)則建立機非混合模型,包括右轉(zhuǎn)機動車穿越直行非機動車規(guī)則和直行非機動車穿越右轉(zhuǎn)機動車規(guī)則。采用Matlab軟件對機非混合模型編程和仿真。通過程序仿真數(shù)據(jù)得到了機動車和非機動車混行交通系統(tǒng)相圖,模擬了右轉(zhuǎn)機動車和直行非機動車的之間相互影響關(guān)系,驗證了模型的準(zhǔn)確性。同時分析了到達率、駕駛員行為選擇概率和等待時間閾值等參數(shù)。
[Abstract]:At present, a prominent feature of urban traffic in China is the mixing of aircraft and non-traffic flow height. Because of the great difference between the pure motor vehicle flow abroad and the mixed traffic flow in our country, especially at the road intersection, motor vehicles, non-motor vehicles and pedestrians interfere with each other, resulting in a serious decline in the capacity of the road. Therefore, the establishment of a microscopic simulation model of intersection vehicle and non-motor vehicle in accordance with the actual traffic situation in China can not only further promote the improvement and development of traffic flow theory, but also promote the development of traffic flow theory. In practice, it is also possible to develop a traffic simulation platform that conforms to the characteristics of mixed traffic in China. In this paper, the choice of driver's behavior is introduced into the evolutionary rules by using cellular automata model, and the mixed traffic flow model of motor vehicle and non-motor vehicle at intersections is established, which can not only reveal the internal mechanism of the conflict between motor and non-mixed traffic at intersections. It can also simulate the decision-making behavior of motor vehicle and non-motor vehicle driver under non-mixed traffic, which has important practical significance. Firstly, the research background is expounded. This paper discusses the domestic and foreign research achievements from three aspects: the research status of non-conflict vehicle, driver behavior and mixed traffic flow model. Based on this, the research route of the thesis is designed. Then, the traffic characteristics of right-turn vehicle and non-motor vehicle at intersection are studied, and the characteristics of right-turn motor vehicle following and passing through non-motor vehicle are analyzed, and the running characteristics of non-motor vehicle in road section and intersection are analyzed. And the behavior of non-motor vehicles passing through motor vehicles. Finally, the intersection is discretized, the cellular space and cell size are delimited, and the driving rules of motor vehicles at road sections, decision points and starting points, as well as non-motor vehicle driving rules, are formulated. Based on the above rules, a non-hybrid model is established, which includes right-turn vehicle traversing non-motor vehicle rule and straight non-motor vehicle traversing right-turn motor vehicle rule. Matlab software is used to program and simulate the non-mixed model. The phase diagram of the mixed traffic system between motor vehicle and non-motor vehicle is obtained by the program simulation data. The interaction between right-turn vehicle and non-motor vehicle is simulated, and the accuracy of the model is verified. At the same time, the parameters such as arrival rate, driver behavior selection probability and waiting time threshold are analyzed.
【學(xué)位授予單位】:山東建筑大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:U491.262

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