基于路段交通量构成比例的方向指示信号动态配时研究

发布时间：2018-10-30 18:43

【摘要】：城市道路交叉口是城市道路上不同交通流不断聚集和消散的地方,它是城市道路不可或缺的重要组成部分,在城市道路网中起着至关重要的作用。设计城市交叉口信号配时控制方案的传统思想一般为定时控制。有时也会根据全天交叉口交通量存在的显著不同(例如早、晚高峰和平峰时段)分时段控制,但本质上仍是定时控制,未考虑交通流随机性特点对交叉口配时的影响。本文对现有的交叉口信号配时优化及动态控制方法进行综述分析,总结各种方法的优缺点及适用条件,针对现有的交叉口信号配时控制策略的弊端,提出基于路段交通量构成比例的方向指示信号动态配时思想:首先从来源和去向的角度给出了路段交通量构成比例的定义,对其中路段交通量去向构成进行详细分析。根据路段交通流的特性及其转向特点,在对常用的交通量构成比例短时预测方法进行详细对比分析的基础上,选择使用ARIMA模型对路段交通量构成比例进行预测。然后根据预测得到的各进口路段交通量构成比例,提出以交叉口车辆延误为判断指标的交叉口相位方案初始判断方法;并对韦伯斯特配时方法进行详细分析,针对其无法适应交通量实时变化及可能造成道路资源浪费等缺点,根据路段交通量构成比例对两相位配时公式进行修正,得到两相位方向指示信号动态配时方法;接着,在考虑四相位交叉口各相向进口路段交通量构成比例对称性的基础上,分别给出不同情况下交叉口相位方案的调整策略及动态配时公式;并给出了交叉口方向指示信号动态调整的策略与原则。最后对成都市实际交叉口进行调查,运用Eviews软件建立交叉口各进口路段交通量构成比例的ARIMA模型,对调查数据进行拟合并得出其预测值。根据预测值,对相位方案进行实时调整、计算交叉口方向指示信号动态配时结果,并从绿灯时间利用率、交叉口延误和通行能力三方面与韦伯斯特配时方案进行对比,用以验证本文提出的基于路段交通量构成比例的方向指示信号动态配时方法的有效性。
[Abstract]:The intersection of urban roads is a place where different traffic flows gather and dissipate. It is an indispensable part of urban roads and plays a vital role in the urban road network. The traditional idea of designing signal timing control scheme of urban intersection is timing control. Sometimes, there are significant differences in traffic volume (such as early, late peak and peak periods) according to the traffic volume of all-day intersections, but it is still a timing control in essence, and the influence of the randomness of traffic flow on the intersection timing is not taken into account. This paper summarizes and analyzes the existing signal timing optimization and dynamic control methods at intersections, summarizes the advantages and disadvantages and applicable conditions of various methods, and aims at the drawbacks of the existing signal timing control strategies at intersections. The idea of dynamic timing of direction indication signal based on the proportion of traffic volume is put forward. Firstly, the definition of the proportion of traffic volume is given from the point of view of source and direction, and the direction and direction of traffic volume is analyzed in detail. According to the characteristics of road traffic flow and its steering characteristics, on the basis of the detailed comparison and analysis of the commonly used short-term forecasting methods of traffic volume composition ratio, ARIMA model is chosen to predict the traffic volume composition proportion of road sections. Then, according to the proportion of traffic volume of each import section, the initial judgment method of intersection phase scheme based on vehicle delay at intersection is put forward. The method of Webster timing is analyzed in detail. Aiming at the shortcomings of the method, such as its inability to adapt to the real-time change of traffic volume and the possible waste of road resources, the two-phase timing formula is modified according to the proportion of traffic volume in road sections. The dynamic timing method of two phase direction indication signal is obtained. Then, on the basis of considering the proportional symmetry of the traffic volume at the four-phase intersection, the adjustment strategy and the dynamic timing formula of the phase scheme of the intersection under different conditions are given. The strategy and principle of dynamic adjustment of direction indication signal at intersection are given. Finally, the actual intersection in Chengdu is investigated, and the ARIMA model of the proportion of traffic volume in the intersections is established by using Eviews software, and the predicted value is obtained by combining the survey data. According to the predicted value, the phase scheme is adjusted in real time, and the dynamic timing results of direction indication signal at intersection are calculated. The results are compared with Webster timing scheme in three aspects: green time utilization ratio, intersection delay and traffic capacity. It is used to verify the effectiveness of the proposed dynamic timing method for directional indicator signals based on the proportion of road traffic volume.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491.54

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