省域高速公路車檢器網(wǎng)絡(luò)有效度辨識(shí)與分析
[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.
【學(xué)位授予單位】:長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U495
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