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Mobility and Road Safety Improvement by Optimizing Smart City Infrastructure Parameters: A Case Study

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Reliability and Statistics in Transportation and Communication (RelStat 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 195))

Abstract

Accelerating urbanization leads to an increase in transport fleets. The road infrastructure does not have time to develop at the same pace, it gives rise to problematic situations in the field of organization and road safety. In order to solve these problems, an information managerial system has been developed. It aggregates information from several databases (information on traffic intensity, statistics of road traffic accidents, location and characteristics of infrastructure objects). Decisions are made on the basis of multivariate data analysis and computer experiments on simulated micro-models of the road network problem areas. The practical significance of the system lies in the ability to calculate the effects of the implementation of the proposed solutions at the stage of development of projects for the modernization and reconstruction of the road network parameters. The system can also be used for operational management decisions in the event of extreme situations in the city transport system (lockdown, public events).

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Acknowledgements

The reported study was funded by RFBR, project number 19-29-06008\19.

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Authors and Affiliations

  1. Kazan Federal University, Syuyumbike Av., 10a, 423812, Naberezhnye Chelny, Russia

    Polina Buyvol, Gulnara Yakupova, Eduard Mukhametdinov & Aleksey Boyko

  2. South Ural State University, Lenin Av., 76, 454080, Chelyabinsk, Russia

    Vladimir Shepelev

Authors
  1. Polina Buyvol
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  2. Gulnara Yakupova
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  3. Vladimir Shepelev
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  4. Eduard Mukhametdinov
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  5. Aleksey Boyko
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Corresponding author

Correspondence to Polina Buyvol .

Editor information

Editors and Affiliations

  1. Transport and Telecommunication Institute, Riga, Latvia

    Igor Kabashkin

  2. Transport and Telecommunication Institute, Riga, Latvia

    Irina Yatskiv

  3. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Olegas Prentkovskis

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Buyvol, P., Yakupova, G., Shepelev, V., Mukhametdinov, E., Boyko, A. (2021). Mobility and Road Safety Improvement by Optimizing Smart City Infrastructure Parameters: A Case Study. In: Kabashkin, I., Yatskiv, I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2020. Lecture Notes in Networks and Systems, vol 195. Springer, Cham. https://doi.org/10.1007/978-3-030-68476-1_47

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