基于小波分析的不完全智能交通系统道路交通特性研究

Q3 Mathematics SPIIRAS Proceedings Pub Date : 2019-04-12 DOI:10.15622/SP.18.2.326-353
O. Golovnin, A. Stolbova
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引用次数: 7

摘要

交通流特征采集中一个常见的问题是数据丢失,导致时间序列分析不均匀。非均匀数据分析的一种有效方法是光谱分析,它需要以恒定的采样间隔获得过程,例如通过恢复缺失数据,从而导致测年误差的出现。因此,本研究的主要目的是开发一种无需恢复缺失数据的交通流特征小波分析方法和软件。为了分析和解释来自交通监控系统的非平稳非均匀时间序列,提出了调整采样间隔的小波变换方法,得到了一个恒定采样间隔的时频域。将小波分析应用于交通流的宏观特征分析。采用面向属性的方法,在“ITSGIS”智能交通地理信息框架上开发了交通流小波分析软件。利用Morlet小波对丹麦奥胡斯市的交通流特征进行了小波分析。构造并分析了小波谱和尺度图,揭示了极值频率分布的一般依赖关系和谱功率的差异。开发的软件正在进行实验性测试,以解决俄罗斯市政当局和道路机构的实际问题。
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Wavelet Analysis as a Tool for Studying the Road Traffic Characteristics in the Context of Intelligent Transport Systems with Incomplete Data
A frequent problem of traffic flow characteristics acquisition is data loss, which leads to uneven time series analysis. An effective approach to uneven data analysis is the spectral analysis, which requires obtaining process with a constant sampling interval, for example, by restoring missing data, which leads to the appearance of dating error. Thus, the main purpose of this study is to develop a method and software for wavelet analysis of traffic flow characteristics without restoring the missing data. To analyze and interpret non-stationary uneven time series obtained from traffic monitoring systems, we propose the wavelet transformation method with adjustment of the sampling intervals, which results in a time-frequency domain with a constant sampling interval. Wavelet analysis is applied to the macroscopic traffic flow characteristics. We developed the software for traffic flow wavelet analysis on the "ITSGIS" intelligent transport geo-information framework using the attribute-oriented approach. Wavelet analysis of traffic flows characteristics using Morlet wavelets was accomplished for data analysis of the city of Aarhus, Denmark. Wavelet spectra and scalograms were constructed and analyzed, general dependencies in the frequency distribution of extremes, and differences in spectral power were revealed. The developed software is being experimentally tested in solving practical problems of municipalities and road agencies in Russia.
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来源期刊
SPIIRAS Proceedings
SPIIRAS Proceedings Mathematics-Applied Mathematics
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
14 weeks
期刊介绍: The SPIIRAS Proceedings journal publishes scientific, scientific-educational, scientific-popular papers relating to computer science, automation, applied mathematics, interdisciplinary research, as well as information technology, the theoretical foundations of computer science (such as mathematical and related to other scientific disciplines), information security and information protection, decision making and artificial intelligence, mathematical modeling, informatization.
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