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An Analysis of Road Traffic Flow Characteristics Using Wavelet Transform

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Recent Research in Control Engineering and Decision Making (ICIT 2019)

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 199))

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Abstract

Measures to obtain reliable information about the current state of traffic flows are necessary to introduce effective control methods offered by modern intelligent transport systems. We developed a method and software for the wavelet analysis of road traffic flow characteristics in the frequency and time domains without restoring the missing samples. The developed method was implemented in the form of software embedded in an intelligent transport system. The method of wavelet analysis of road traffic flow characteristics takes into account the non-equidistance of data, which allows the construction of a time-frequency scan with a uniform representation without restoring the missing samples with adjustment of the sampling intervals. Background data on traffic flows for analysis was obtained from the CityPulse Dataset Collection. We analyzed such characteristics as average speed and vehicle count. We analyzed wavelet spectra and scalograms, identified common dependencies in the frequency distribution of extremes, and revealed differences in spectral power for different road segments.

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Author information

Authors and Affiliations

  1. Samara University, 34, Moskovskoye shosse, Samara, 443086, Russia

    Oleg Golovnin, Anastasia Stolbova & Nikita Ostroglazov

Authors
  1. Oleg Golovnin
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  2. Anastasia Stolbova
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  3. Nikita Ostroglazov
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Corresponding author

Correspondence to Oleg Golovnin .

Editor information

Editors and Affiliations

  1. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Olga Dolinina

  2. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexander Brovko

  3. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Vitaly Pechenkin

  4. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexey Lvov

  5. Department of Automation, Novosibirsk State Technical University, Novosibirsk, Russia

    Vadim Zhmud

  6. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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Golovnin, O., Stolbova, A., Ostroglazov, N. (2019). An Analysis of Road Traffic Flow Characteristics Using Wavelet Transform. In: Dolinina, O., Brovko, A., Pechenkin, V., Lvov, A., Zhmud, V., Kreinovich, V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-030-12072-6_35

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