本文選題：信號交叉口　切入點：行人群集　出處：《北京工業(yè)大學(xué)》2014年碩士論文

【摘要】：與普通路段的行人交通不同，信號交叉口的行人交通由于受到通行時間的限制及通行環(huán)境的影響，會出現(xiàn)特有的“群集”現(xiàn)象。通過分析信號交叉口行人群集的交通特性，掌握行人群集通行的一般規(guī)律并通過仿真軟件模擬再現(xiàn)群集的運動，可以為行人群集交通控制與管理提供一種新方法。 本文以北京市西大望路、武圣路等路段的典型交叉口的過街行人群集為研究對象，利用視頻分析軟件獲得大量過街行人的坐標、速度及加速度數(shù)據(jù)，并基于實測數(shù)據(jù)對信號交叉口的行人個體、個體與個體間、行人群集的交通特性進行了分析。 在分析總結(jié)國內(nèi)外行人交通運動模型的的基礎(chǔ)上，選取社會力模型作為行人個體運動行為模型的基礎(chǔ)模型，針對信號交叉口的環(huán)境特殊性對傳統(tǒng)社會力模型進行優(yōu)化，利用非線性回歸分析對優(yōu)化后的模型參數(shù)進行標定，并利用實測數(shù)據(jù)對最終模型的精確度進行分析。 利用相關(guān)分析的方法，分別對相鄰時刻的群集中心坐標、相鄰時刻的面積參數(shù)值以及群集中心速度與群集距離的相關(guān)關(guān)系進行分析；根據(jù)分析結(jié)果，，利用多種回歸方程建立了群集中心位置、群集面積及群集中心速度的預(yù)測模型，并利用實際數(shù)據(jù)與預(yù)測數(shù)據(jù)的誤差檢驗預(yù)測模型的精確度。 針對預(yù)測模型得出的參數(shù)預(yù)測值與相應(yīng)參數(shù)實際值的差距，采用力學(xué)分析的方法，建立了群集中心、群集面積及群集速度的控制模型，得到的模型可以及時調(diào)整行人的運動，使整個行人群集呈現(xiàn)協(xié)同性和聚合性。 以建立的行人個體交通模型和行人群集交通模型作為核心，利用C#語言開發(fā)信號交叉口行人群集通行仿真軟件，軟件可以動態(tài)的模擬信號交叉口處行人以群集狀態(tài)通行的過程，并輸出行人坐標、速度等數(shù)據(jù)，通過輸出值與實際值的誤差對比進一步驗證模型的精確性。開發(fā)的軟件可以對行人群集的交通組織方案和行人信號配時方案進行模擬分析和評價，是有效組織行人交通、加強行人過街安全的新手段。
[Abstract]:Different from the pedestrian traffic in ordinary road sections, pedestrian traffic at signalized intersections will appear special "clustering" phenomenon due to the limitation of traffic time and the influence of traffic environment.By analyzing the traffic characteristics of pedestrian clusters at signalized intersections, mastering the general rules of pedestrian traffic and simulating the movement of pedestrian clusters through simulation software, a new method for traffic control and management of pedestrian clusters can be provided.In this paper, the pedestrian clusters at typical intersections of Xidawang Road and Wusheng Road in Beijing are studied. A large number of coordinates, velocities and accelerations of pedestrians are obtained by using video analysis software.Based on the measured data, the traffic characteristics of pedestrian individuals, individuals and pedestrian clusters at signalized intersections are analyzed.On the basis of analyzing and summarizing the pedestrian traffic movement model at home and abroad, the social force model is selected as the basic model of pedestrian individual movement behavior model, and the traditional social force model is optimized according to the environmental particularity of signalized intersection.The parameters of the optimized model are calibrated by nonlinear regression analysis, and the accuracy of the final model is analyzed by the measured data.By using the method of correlation analysis, the relationship between the cluster center coordinates of adjacent time, the area parameter value of adjacent time, and the cluster center velocity and the cluster distance is analyzed, and according to the analysis results, the relationship between the cluster center velocity and the cluster distance is analyzed.The prediction models of cluster center location, cluster area and cluster center velocity are established by using multiple regression equations, and the accuracy of the prediction model is verified by the error between the actual data and the prediction data.In view of the difference between the predicted values and the actual values of the corresponding parameters, the control model of cluster center, cluster area and cluster velocity is established by using the method of mechanical analysis. The model can adjust the movement of pedestrians in time.Make the whole pedestrian cluster present synergy and aggregation.With the established pedestrian traffic model and pedestrian traffic model as the core, using C # language to develop pedestrian traffic simulation software at signalized intersection, the software can dynamically simulate the process of pedestrian passing in cluster state at signalized intersection.The accuracy of the model is further verified by comparing the error between the output value and the actual value.The developed software can be used to simulate and evaluate the traffic organization scheme and pedestrian signal timing scheme of pedestrian clusters. It is a new method to effectively organize pedestrian traffic and enhance pedestrian crossing safety.
【學(xué)位授予單位】：北京工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491

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相關(guān)期刊論文 前1條

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