省域高速公路车检器网络有效度辨识与分析

发布时间：2018-11-09 13:32

【摘要】：智能交通系统将先进的信息技术、电子传感技术、数据通讯传输技术、电子控制技术以及计算机处理技术等有效地集成运用于整个交通运输管理体系,其核心是通过各种交通分析模型完成对大量交通流数据的处理及分析,从而形成有效的控制策略,提高交通运输效率。原始交通流数据是实现“智能交通”的基础,而车辆检测器作为一种常见定点检测器,其采集的流量、占有率、密度等参数广泛使用于诸多的交通应用,是最为普遍、丰富的数据源。本文主要针对高速公路车辆检测器检测数据的完整率和精度等是否能满足交通应用的需求,其布设位置是否较为合理为研究目的,对路网的车检器检测数据的质量及布设位置的必要性进行评估。最后综合数据质量和布设位置必要性两方面计算出车检器网络有效度,为管理者提供评价车检器使用价值的方法。在数据进行质量评估前,首先对数据进行预处理即数据清洗及数据修补。数据清洗将车检器流量检测数据通过基础筛选、阈值筛选、交通流三参数关系进行逐步判断,对错误数据进行筛选;然后利用四分位数法,运用全年某时段的车检器检测数据对某一天某时段的缺失数据进行修补。通过传统的修补算法与本文的四分位数修补法进行误差对比,得出此算法误差较低,更具有有效性。检测数据的质量评估包含了准确性、有效性、完整性、唯一性、稳定性等因素,结合这些因素运用加权平均数法进行评估;车检器布设位置的必要性按照所起的交通行为分析、事件检测、交通控制、交通规划等四方面用途进行评价;网络有效度是将数据评估结果和布设位置必要性两者结合而得出。最后,本文对陕西省某路段的车检器进行实例分析。通过对车检器网络有效度的对比分析,得出有助于管理者进行科学决策的科学结论。
[Abstract]:It integrates advanced information technology, electronic sensing technology, data communication technology, electronic control technology and computer processing technology into the whole transportation management system. Its core is to process and analyze a large number of traffic flow data through various traffic analysis models, so as to form effective control strategy and improve transportation efficiency. The original traffic flow data is the basis of realizing "intelligent traffic". As a common fixed-point detector, the traffic flow, occupation rate, density and other parameters collected by the vehicle detector are widely used in many traffic applications. Rich data sources. This paper mainly aims at whether the complete rate and precision of detection data of freeway vehicle detector can meet the needs of traffic application, and whether the location of the vehicle detector is more reasonable for the purpose of research. This paper evaluates the quality of the inspection data and the necessity of the location of the vehicle detector in the road network. Finally, the efficiency degree of vehicle detector network is calculated from the aspects of data quality and location necessity, which provides a method for managers to evaluate the use value of vehicle inspector. Before evaluating the quality of data, we preprocess the data, namely data cleaning and data repair. Data cleaning determines the relationship of three parameters of traffic flow through basic screening, threshold screening and traffic flow, and filters the wrong data. Then by using the quartile method, the missing data of a certain period of a day are repaired by using the vehicle detector data of a certain period of the year. By comparing the traditional repair algorithm with the quartile repair algorithm in this paper, it is concluded that the error of this algorithm is lower and more effective. The quality evaluation of test data includes the factors of accuracy, validity, completeness, uniqueness, stability and so on. The weighted average method is used to evaluate these factors. The necessity of vehicle detector placement is evaluated according to the traffic behavior analysis, event detection, traffic control and traffic planning, and the network effectiveness is derived from the combination of the data evaluation results and the location necessity. Finally, this paper analyzes the vehicle detector in a section of Shaanxi Province. Through the comparison and analysis of the network effectiveness of the vehicle inspector, the scientific conclusions are obtained, which are helpful for the managers to make scientific decisions.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495

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