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Received 30.09.2022

Revised 19.02.2023

Accepted 26.03.2023

Retrieved from Iss. 113, P. 1, 2023

Pages 41 -46

  • 108 Views

Suggested citation

Gusiev, O., Halona, I., Fedorenko, I., & Gerasimenko, A. (2023). TRANSPORT SAFETY: DEVELOPMENT OF RECOMMENDATIONS FOR IMPROVING ROAD TRAFFIC SAFETY IN DENSE FLOWS. Automobile Roads and Road Construction, (113.1), 41-46. https://doi.org/10.33744/0365-8171-2023-113.1-041-046

TRANSPORT SAFETY: DEVELOPMENT OF RECOMMENDATIONS FOR IMPROVING ROAD TRAFFIC SAFETY IN DENSE FLOWS

Oleksandr Gusiev Inesa Halona Iryna Fedorenko Alla Gerasimenko

Abstract

Scientific research and the practice of auto technical expertise show that up to 80% of all road accidents are caused by the faults of the driver. In many cases, the main cause of road accidents is the driver's failure to maintain a safe driving distance, which makes it impossible to react in a timely manner to the occurrence of dangerous situations. This also applies to all typical dangerous traffic situations. At the same time, in most cases there is an initial period of time during which the driver has the opportunity to avoid an accident by choosing a safe speed or stopping the car. Since when moving in the traffic flow (especially in the mode of connected traffic) the driver is often limited in the choice of speed, but can freely choose the distance, the problem of choosing a safe speed of movement (BSHR) is directly related to the problem of choosing a safe following distance (SFD). Therefore, in the conditions of driving a car in a dense flow, only the level of training of the driver depends on whether the following interval chosen by him will be safe. The article examines approaches, principles and algorithms for the development of innovative measures to improve traffic safety in dense traffic using the theory of system analysis and the theory of probability. The performed analysis of traffic conditions in the stream allows establishing a connection between the average movement interval and safe intervals for following connected and free vehicles. The results presented by the authors of the dependence allow for the formulation of recommendations for drivers moving in the flow. Developed requirements and recommendations for ensuring traffic safety, in particular, in dense streams. The obtained results and mathematical dependencies make it possible to develop recommendations regarding the location of technical means of traffic regulation, etc. Recommendations for promising further scientific research aimed at increasing the safety of traffic in dense streams and the development of traffic regulation measures have been formulated. As a separate recommendation, the results can be applied to the design of a system of measures for the safety of public (passenger) transport and improvement of passenger transport technologies

Keywords:

dense flows, road traffic safety, safe following distance, density of distribution of traffic time intervals

References

  1. World Health Organization. (2015). World road accidents statistics data. Geneva: WHO.
  2. Gusev, O.V. (2004). Improving the road transport safety. Bulletin of NTU, 9, 98-103.
  3. Gusev, A.V. (2004). The development of prediction models. Highways and Highway Construction, 7, 77-79.
  4. Gusev, O.V. (1995). Improving road safety of motor transport taking into account the efficiency of driver's visual actions. (Abstract of PhD dissertation, Ukrainian Transport University, Kyiv, Ukraine).
  5. Gusev, O.V. (2005). Ensuring storage and safety of cargo on transport: Textbook. Kyiv: NTU.
  6. Zhu, Y., Wu, Q., & Xiao, N. (2022). Research on highway traffic flow prediction model and decision-making method. Scientific Reports, advance online publication. doi: 10.1038/s41598-022-24469-y.
  7. Rodriguez, M., & Fathy, H. (2022). Vehicle and traffic light control through gradient-based coordination and control barrier function safety regulation. Journal of Dynamic Systems, Measurement, and Control, 144(1), article number 011004. doi: 10.1115/1.4052999.
  8. Junwei, Z., et al. (2021). Expressway traffic flow under the combined bottleneck of accident and on-ramp in framework of Kerner’s three-phase traffic theory. Physica A: Statistical Mechanics and its Applications, 574, article number 126004. doi: 10.1016/j.physa.2021.126004.
  9. Tajdari, F., & Roncoli, C. (2021). Traffic control at motorway bottlenecks with time-varying fundamental diagram. IFAC-PapersOnLine, 54(2), 271-277. doi: 10.1016/j.ifacol.2021.06.107.
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https://doi.org/10.33744/0365-8171-2023-113.1-041-046

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