Abstract
Intelligent transport systems (ITS) are developing dynamically in many countries around the world, including Russia. One of the main stated goals is to improve road safety (RS). The paper considers the prospects and conditions for the allocation of an independent RS subsystem within the framework of an intelligent transport system. A structural model is obtained that is easy to implement in the existing ITS. The transition from the closed type of ITS functioning is proposed: for the successful functioning of the RS subsystem, the use of dispatching information, forces and means of state services is additionally recommended. The results of evaluation of the ability to use the accessible tool of ITS components in the proposed subsystem that preliminarily grouped in two blocks: block “monitoring” and block “management”. The study was conducted using the example of the Russian Federal road A-322. Based on the use of the risk theory and “Driver-Car–Road–Environment” approach to assessing the level of potential danger, an algorithm for the functioning of a complex RS subsystem has been developed, the main idea of which is to compare the current risk to the established limit value. A multiplicative form is proposed as a basic model for assessing the risk of road traffic accident. Based on the results of the study, recommendations were made on the conditions and opportunities for implementing the RS subsystem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jarašūnienė, A., Batarlienė, N.: Lithuanian road safety solutions based on intelligent transport systems. Transport 28(1), 97–107 (2013). https://doi.org/10.3846/16484142.2013.782895
Wang, X., Zhang, F., Li, B., Gao, J.: Developmental pattern and international cooperation on intelligent transport system in China. Case Stud. Transp. Policy 5(1), 38–44 (2017). https://doi.org/10.1016/j.cstp.2016.08.004
Agureev, I., Elagin, M., Pyshnyi, V., Khmelev, R.: Methodology of substantiation of the city transport system structure and integration of intelligent elements into it. Transp. Res. Procedia 20, 8–13 (2017). https://doi.org/10.1016/j.trpro.2017.01.003
Pechatnova, E., Kuznetsov, V.: Study of the relationship between time and traffic flow on motorways. J. Phys.: Conf. Ser. 1333, 032063 (2019). https://doi.org/10.1088/1742-6596/1333/3/032063
Szczepanik, T., Besta, P.: Impact of intelligent transportation systems on road traffic safety. Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie 29, 208–216 (2018). https://doi.org/10.17512/znpcz.2018.1.17
Pauer, G.: Development potentials and strategic objectives of intelligent transport systems improving road safety. Transp. Telecommun. J. 18(1), 15–24 (2017). https://doi.org/10.1515/ttj-2017-0002
Mfenjou, M.L., Ari, A.A.A., Abdou, W., Spies, F.: Methodology and trends for an intelligent transport system in developing countries. Sustain. Comput.: Inform. Syst. 19, 96–111 (2018). https://doi.org/10.1016/j.suscom.2018.08.002
Khorasani, G., Tatari, A., Yadollahi, A., Rahimi, M.: Evaluation of intelligent transport system in road safety. Int. J. Chem. Environ. Biol. Sci. (IJCEBS) 1(1), 110–118 (2013)
Pechatnova, E., Sergeeva, Ja.: Assessment of influence of meteorological parameters on the risk of road traffic accidents on roads outside settlements. In: IOP Conference Series Earth and Environmental Science, vol. 272, p. 022175 (2019). https://doi.org/10.1088/1755-1315/272/2/022175
Kaparias, I., Bell, M.G.H., Eden, N., Gal-Tzur, A., Komar, O., Prato, C.G., Tartakovsky, L., Aronov, B., Zvirin, Y., Gerstenberger, M., Tsakarestos, A., Nocera, S., Busch, F.: Key performance indicators for traffic management and intelligent transport systems. CONDUITS Deliv. 3, 5 (2011)
Malygin, I., Komashinskiy, V., Korolev, O.: Cognitive technologies for providing road traffic safety in intelligent transport systems. Transp. Res. Procedia 36, 487–492 (2018). https://doi.org/10.1016/j.trpro.2018.12.134
Asaul, A., Malygin, I., Komashinskiy, V.: The project of intellectual multimodal transport system. Transp. Res. Procedia 20, 25–30 (2017). https://doi.org/10.1016/j.trpro.2017.01.006
Zhankaziev, S.: Current trends of road-traffic infrastructure development. Transp. Res. Procedia 20, 731–739 (2017). https://doi.org/10.1016/j.trpro.2017.01.118
Galkin, A., Davidich, N., Filina-Dawidowicz, L., Davidich, Y.: Improving the safety of urban freight deliveries by organization of the transportation process considering driver’s state. Transp. Res. Procedia 39, 54–63 (2019). https://doi.org/10.1016/j.trpro.2019.06.007
Bommes, M., Fazekas, A., Volkenhoff, T., Oeser, M.: Video based intelligent transportation systems – state of the art and future development. Transp. Res. Procedia 14, 4495–4504 (2016). https://doi.org/10.1016/j.trpro.2016.05.372
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Pechatnova, E., Kuznetsov, V. (2021). Assessment of the Conditions for Allocating Independent Road Safety ITS Subsystem. In: Murgul, V., Pukhkal, V. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019. EMMFT 2019. Advances in Intelligent Systems and Computing, vol 1258. Springer, Cham. https://doi.org/10.1007/978-3-030-57450-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-57450-5_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57449-9
Online ISBN: 978-3-030-57450-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)