本文選題：行人預(yù)測　切入點(diǎn)：行人專用相位　出處：《重慶交通大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著社會和經(jīng)濟(jì)的發(fā)展,機(jī)動車保有量不斷上升,城市交通擁堵變得越來越嚴(yán)重。這幾年城市建設(shè)發(fā)展非常迅速,為了緩解交通擁堵,道路越修越寬,交叉口也越來越大,這樣大大增加了行人通過交叉口的難度。目前多數(shù)的城市交通信號控制主要以機(jī)動車流暢通的為基礎(chǔ),并沒有充分考慮行人過街的需求。隨著城市生活水平的提高以及老齡化加速,對行人更加友好的路口交通管理與控制方法引起了人們的廣泛重視。本文將研究充分考慮行人因素的交叉口交通信號控制,既保證了對行人過街友好,又保證機(jī)動車的暢通。首先,論文介紹了行人過街的交通特性,提出了將激光雷達(dá)檢測器和攝像機(jī)兩類檢測器聯(lián)合起來標(biāo)定并檢測行人。并運(yùn)用高峰時期的行人流量數(shù)據(jù),采用小波神經(jīng)網(wǎng)絡(luò)的算法對未來行人流量進(jìn)行短期預(yù)測,得到高峰時期行人流的估計,解決了行人交通信息檢測難、設(shè)備貴和數(shù)據(jù)傳輸時差等問題。其次,論文分析了一般情況下交叉口渠化設(shè)計的原則,采用了行人友好型渠化設(shè)計。分析了一般信號相位的設(shè)計方法、原則和相序確定的原則,提出了行人專用相位的方法,解決了交叉口行人和機(jī)動車間的沖突問題,滿足了行人過街的需求。最后,論文提出了建立多目標(biāo)優(yōu)化配時方案的行人友好型交叉口控制模型,模型的多目標(biāo)函數(shù)中加入了行人延誤作為控制指標(biāo),建立了以行人的延誤、交叉口的通行能力、車輛的延誤和停車率為性能控制指標(biāo)的多目標(biāo)函數(shù)。采用了遺傳算法對多目標(biāo)函數(shù)的各個性能指標(biāo)進(jìn)行求解。并以重慶市某交叉口作為研究對象,采用考慮行人因素的配時方法和不考慮行人因素的配時方法對交叉口進(jìn)行配時設(shè)計,對比了兩種方法下的各個性能指標(biāo)的變化。
[Abstract]:With the development of society and economy, the number of motor vehicles has been increasing, and the traffic jams have become more and more serious. In recent years, urban construction has developed very rapidly. In order to alleviate the traffic congestion, the roads are wider and wider, and the intersections are becoming larger and larger. This greatly increases the difficulty for pedestrians to pass through intersections. At present, most urban traffic signal controls are mainly based on the smooth flow of motor vehicles. The need for pedestrian crossing was not fully taken into account. With the improvement of living standards in cities and the acceleration of aging, People pay more attention to the more friendly traffic management and control method of pedestrian intersection. In this paper, we will study the traffic signal control of intersection which fully considers the pedestrian factor, which ensures the pedestrian crossing to be friendly. First of all, the paper introduces the traffic characteristics of pedestrians crossing the street, and proposes the combination of lidar detector and camera detector to calibrate and detect pedestrians. The wavelet neural network algorithm is used to predict the future passenger flow in the short term, and the estimation of the pedestrian flow during the peak period is obtained, which solves the problems such as difficult detection of pedestrian traffic information, expensive equipment and time difference of data transmission, etc. Secondly, In this paper, the principle of design of intersection is analyzed, and the design of pedestrian friendly channel is adopted. The design method of general signal phase, principle and principle of phase sequence determination are analyzed, and the method of special phase of pedestrian is put forward. The conflict between pedestrians and motor vehicles at intersections is solved, and the needs of pedestrians crossing the street are satisfied. Finally, the control model of pedestrian friendly intersections with multi-objective optimal timing scheme is proposed. In the multi-objective function of the model, the pedestrian delay is added as the control index, and the pedestrian delay and the traffic capacity of the intersection are established. The delay and parking rate of vehicles are multi-objective function of performance control index. Genetic algorithm is used to solve each performance index of multi-objective function, and a intersection in Chongqing is taken as the research object. The time matching method considering pedestrian factor and the time matching method without considering pedestrian factor are adopted to design the intersection. The changes of each performance index under the two methods are compared.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U491.54

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本文編號：1630847