基于手机切换定位技术的干道行程时间分配方法研究

发布时间：2018-07-20 12:37

【摘要】：行程时间采集和评估是先进交通信息系统分析交通运行状况的依据和基础,交通出行者及交通管理者经常采用其进行评价交通状态或者作为下一步交通决策的依据。手机切换定位的交通信息采集技术具有投资成本低、数据量庞大,信息覆盖范围广等诸多优点,逐渐成为了当前智能交通信息采集的重要手段,在利用手机切换技术获取行程时间过程中,两个连续采样点之间车辆可能跨越多个部分路段或完整路段,但是行程时间信息发布一般以完整路段为基本单位,因此需要将跨越不同路段的样本车辆采样间隔时间分配至每条路段上。对于快速路而言,其运行状态简单,采用基本路段比例法即可完成行程时间分配,且分配误差小；但是对于城市干道而言,由于信号控制交叉口的存在等问题导致行程时间分配难以处理,需要考虑信号交叉口引起的停车等待时间及加减速延误,信号控制设施类型及信号配时方案对停车延误时长起着决定性作用,但是现有城市干道行程时间分配方法多数没有假设信号控制设施类型及信号配时方案为已知条件,少数考虑了信号控制设施相关信息的方法,其模型输入参数多且复杂、可移植性弱。因此本文在假设信号控制相关信息为已知条件下,提出修正Hellinga模型及信号时间序列模型对交叉口延误精确分配,通过仿真平台获取手机切换定位数据将这两种方法与Hellinga模型(Hellinga教授2008年提出的分配理论模型)及神经网络进行对比分析,最终得出结论：在畅通状态下,修正Hellinga模型及信号时间序列模型这种精细化的结合交叉口信号信息的方法优于神经网络及Hellinga模型,在拥堵状态下,修正Hellinga模型分配效果依然最优。
[Abstract]:The acquisition and evaluation of travel time is the basis and basis for the advanced traffic information system to analyze the traffic operation status. Traffic travelers and traffic managers often use it to evaluate the traffic status or to take it as the basis for the next step of traffic decision-making. With the advantages of low investment cost, large amount of data, wide coverage of information and so on, the technology of mobile phone switching and positioning has gradually become an important means of intelligent transportation information collection. In the process of obtaining travel time by using mobile phone switching technology, vehicles between two continuous sampling points may span several parts of a section or a whole section of a road, but the information of travel time is generally issued on a complete section as the basic unit. Therefore, sample vehicle sampling intervals across different sections need to be allocated to each section. For the expressway, its running state is simple, the travel time distribution can be completed by using the basic road section proportion method, and the distribution error is small, but for the urban trunk road, Due to the existence of signal-controlled intersection and other problems, it is difficult to deal with the travel time distribution, so it is necessary to consider the waiting time and acceleration and deceleration delay caused by signalized intersection. The type of signal control facilities and the signal timing scheme play a decisive role in the delay time, but most of the existing methods do not assume that the type of signal control facilities and the signal timing scheme are known conditions. A few methods which consider the information of signal control facilities have many input parameters, complex input parameters and weak portability. Therefore, under the assumption that the signal control information is known, the modified Hellinga model and the signal time series model are proposed to assign the intersection delay accurately. The two methods are compared with Hellinga model (assignment theory model proposed by Professor Hellinga in 2008) and neural network through the acquisition of mobile phone handoff location data by simulation platform. The modified Hellinga model and the signal time series model are better than the neural network and Hellinga model in combining the intersection signal information. In the congested condition, the modified Hellinga model still has the best allocation effect.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.1

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