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The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics

Author

Listed:
  • Vladimir Shepelev

    (Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia)

  • Sergei Aliukov

    (Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia)

  • Kseniya Nikolskaya

    (Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia)

  • Salavat Shabiev

    (Department of Architecture, South Ural State University, 454080 Chelyabinsk, Russia)

Abstract

The possibilities of collecting the necessary information using multi-touch cameras and ways to improve road traffic data collection are considered. An increase in the number of vehicles leads to traffic jams, which in turn leads to an increase in travel time, additional fuel consumption and other negative consequences. To solve this problem, it is necessary to have a reliable information collection system and apply modern effective methods of processing the collected information. The technology considered in the article allows taking into account pedestrians crossing the intersection. The purpose of this article is to determine the most important traffic characteristics that affect the traffic capacity of the intersection, in other words, the actual number of passing cars. Throughput is taken as a dependent variable. Based on the results of the regression analysis, a model was developed to predict the intersection throughput taking into account the most important traffic characteristics. Besides, this model is based on the fuzzy logic method and using the Fuzzy TECH 5.81d Professional Edition computer program.

Suggested Citation

  • Vladimir Shepelev & Sergei Aliukov & Kseniya Nikolskaya & Salavat Shabiev, 2020. "The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics," Energies, MDPI, vol. 13(7), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1765-:d:342226
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    Citations

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    Cited by:

    1. Viacheslav Morozov & Vladimir Shepelev & Viktor Kostyrchenko, 2022. "Modeling the Operation of Signal-Controlled Intersections with Different Lane Occupancy," Mathematics, MDPI, vol. 10(24), pages 1-24, December.
    2. Dmitrii Zakharov & Alexey Fadyushin & Denis Chainikov, 2020. "Changes in the Environmental Sustainability of the Urban Transport System when Introducing Paid Parking for Private Vehicles," Resources, MDPI, vol. 9(9), pages 1-18, August.
    3. Viacheslav Morozov & Sergei Iarkov, 2021. "Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    4. Alexey Terentyev & Alexey Marusin & Sergey Evtyukov & Aleksandr Marusin & Anastasia Shevtsova & Vladimir Zelenov, 2023. "Analytical Model for Information Flow Management in Intelligent Transport Systems," Mathematics, MDPI, vol. 11(15), pages 1-16, August.

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