Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In Uzbekistan, about 2,000 people die every year as a result of a traffic accident. At the same time, according to the Pulitzer Centre on Crisis Reporting, the Republic has the lowest rate in road mortality among the countries in the Central Asian region - for every 100,000 people, it is 11.32 people. Losses from road accidents in Uzbekistan equivalent up to 2.8% of GDP that is also one of the lowest indicators. But according to traffic safety experts, the losses from accidents are greater than reported data. Nowadays there are a lot of methods to analyse and ensure road safety and traffic management on the roads. The authors believe that road safety is a complex societal problem not only in Uzbekistan but all over the world. One of these methods is System Dynamic (SD) and COMplex PRoblem hAndling Methodology (COMPRAM). In this work, the Vensim PLE SD software tool (it is one SD tool amongst many others) has been used to perform the SD modelling of the case study at hand. In the methods of system dynamics, a computer model is created using a graphical technique for constructing flow diagrams and causal relationships of the system under study and then simulated on a computer. COMPRAM allows us to figure out the way to handle complex societal problems while involving a System Dynamics (SD) simulation option. There are similarities between COMPRAM and the traditional way of analysing road safety. In traditional ways, each element or factor is studied as a separate phenomenon. These indicators are studied in the stages of COMPRAM. This article has been studied a different aspect of how road accidents happen. The developed a comparison (according to six criteria) of the different modelling paradigms which have been historically used to assess road safety. Also, the authors made a comparison of the COMPRAM methodology with the traditional road safety assessment approach to highlight similarities and differences.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
49--63
Opis fizyczny
Bibliogr. 57 poz., rys., tab.
Twórcy
autor
- Jizzakh Polytechnic Institute, Uzbekistan
autor
- University of Žilina, Slovakia
autor
- University of Klagenfurt, Austria
Bibliografia
- 1. Abdul Rahim H. F., Hawari N. N., Zainal Abidin N.: Supply & Demand of Rice in Malaysia: A System Dynamics Approach. Int. J. Supply Chain Manag., 6/4, 2017.
- 2. Abdunazarov J., Azizov K., Shukurov I.: Method of analysis of the reasons and consequences of traffic accidents in Uzbekistan cities. International Journal of Safety and Security Engineering, 10/4, pp. 483-490, 2020.
- 3. Abdunazarov, J.N.: Justification the parameters of design vehicles for the design geometric elements of highways., PhD’s thesis, Moscow, MADI, p. 143, 2015.
- 4. Alirezaei M., Onat N., Tatari O. Abdel-Aty M.: The Climate Change-Road Safety-Economy Nexus: A System Dynamics Approach to Understanding Complex Interdependencies. Systems, 5/1, p. 6, 2017.
- 5. Bednarska-Olejniczak D., Olejniczak J., Svobodová L.: Towards a smart and sustainable city with the involvement of public participation-The case of Wroclaw. Sustainability, 11/2, 332, 2019.
- 6. Budzyński M., Kustra W., Okraszewska R., Jamroz K., Pyrchla J.: The use of GIS tools for road infrastructure safety management. E3S Web of Conferences, 26, 00009, 2018.
- 7. Caban J., Karpinski R., Barta D.: Road Traffic Accident Injuries - Causes and Biomaterial Related Treatment. 2018 XI International Science-Technical Conference Automotive Safety, 2018.
- 8. Callejas-Cuervo M., Valero-Bustos H.A., Alarcón-Aldana A.C., Mikušova, M.: Measurement of service quality of a public transport system, through agent-based simulation software. Studies in Computational Intelligence, 830, pp. 335-347, 2020.
- 9. DeTombe D.: Societal problems more complex than presumed: The Compram methodology. J. Syst. Sci. Syst. Eng., 26/3, pp. 303–320, 2017.
- 10. DeТombe D. J.: Compram, a method for handling complex societal problems. Eur. J. Oper. Res., 128/2, pp. 266–281, 2001.
- 11. Elvik R., Vaa T.: The handbook of road safety measures - Part II general Propouse, policy instruments, Elsevier, pp. 1–113, 2009.
- 12. Forrester J. W.: System Dynamics, Systems Thinking, and Soft OR. Syst. Dyn. Rev., 10/2, pp. 1–14, 1994.
- 13. Ghadi M., Török Á.: A comparative analysis of black spot identification methods and road accident segmentation methods. Accident Analysis and Prevention, 128, pp. 1-7, 2019.
- 14. Gorzelanczyk P., Pyszewska D., Kalina T., Jurkovic M.: analysis of road traffic safety in the Pila poviat. Scientific Journal Of Silesian University Of Technology-Series Transport, Vol. 107, pp. 33-52, 2020.
- 15. Holló P., Henézi D., Berta T.: Comparison of self-reported and observed road safety performance indicators. Periodica Polytechnica Transportation Engineering, 46/3, pp. 117-121, 2018.
- 16. Huk M., Kwasnicka H.: The concept and properties of Sigma-if neural network. Adaptive And Natural Computing Algorithms, pp. 13-18, 2005.
- 17. Huk M., Szczepanik M.: Multiple classifier error probability for multi-class problems. Eksploatacja i Niezawodnosc-Maintenance And Reliability, Iss. 3, pp. 12-16, 2011.
- 18. Huk M.: Measuring computational awareness in contextual neural networks. 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2254-2259, 2016.
- 19. Huk M.: Training contextual neural networks with rectifier activation functions: Role and adoption of sorting methods. Journal of Intelligent & Fuzzy Systems, 37/6, pp. 7493-7502, 2019.
- 20. Jamroz K.: Review of Road Safety Theories and Models. Journal of Konbin, Iss. 1, pp. 89–108, 2008.
- 21. Jamroz K., Budzynski M., Romanowska A., Zukowska J., Oskarbski J., Kustra W.: Experiences and Challenges in Fatality Reduction on Polish Roads. Sustainability, 11/4, 2019.
- 22. Kazadi A. K.. Recent Advances in Nonlinear Dynamics and Synchronization. vol. 109, no. January, 2018.
- 23. Koschuch M., Sebron W., Szalay Z., Tschiurtz H., Wahl I.: Safety & security in the context of autonomous driving. 2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings, 8965092, 2019.
- 24. Kumar N., Umadevi G.: Application of System Dynamic Simulation Modeling in Road Safety. Road Saf. Simul., 2011.
- 25. Kustra W., Zukowska J., Budzynski M., Jamroz K.: Injury prediction models for onshore road network development. Polish Maritime Research, 26/2, pp. 93-103, 2019.
- 26. Mackun T., Zukowska J.: Analysis of the relationship between the length of eye fixation and the parameters of advertisements visible from the road. MATEC Web of Conferences, 231, 04007, 2018.
- 27. Maghrour Z., M., Torok A.: Single loop detector data validation and imputation of missing data. Measurement: Journal of the International Measurement Confederation, 116, pp. 193-198, 2018.
- 28. Marienka P., Francak M., Jagelcak J., Synak F.: Comparison of Braking Characteristics of Solo Vehicle and Selected Types of Vehicle Combinations. LOGI 2019 - Horizons of Autonomous Mobility in Europe, Vol. 44, pp. 40-46, 2020.
- 29. Mikusova M. et al.: Designing of Parking Spaces on Parking Taking into Account the Parameters of Design Vehicles. Computation, 8 (3), 1-21 (2020).
- 30. Mikusova, M., Abdunazarov, J.: Modelling of Vehicle Movements for the Design of Parking Space. Computational Collective Intelligence, ICCCI 2019, LNAI, Springer, Heidelberg, vol. 11684, pp. 464-475, 2019.
- 31. Mikusova M., Abdunazarov J., Zukowska J.: Modelling of the movement of design vehicles on parking space for designing parking. Development of Transport by Telematics – TST 2019 -19th International Conference on Transport Systems Telematics, CCIS, Springer, Heidelberg, vol. 1049, pp. 188-210, 2019.
- 32. Mikusova M., Callejas-Cuervo M., Valero-Bustos H.A., Alarcon-Aldana A.C.: Integration of Simulation Techniques: System Dynamics and intelligent Agents Applied to a Case Study. In: Nguyen N., Chbeir R., Exposito E., Aniorté P., Trawiński B. (Eds.) Computational Collective Intelligence, ICCCI 2019, LNAI, Springer, Heidelberg, vol. 11684, pp. 510-517, 2019.
- 33. Mikusova M., Gnap J.: Experiences with the implementation of measures and tools for road safety. In: XII congreso de ingenieria del transporte, CIT 2016, Universidad Politechnica de Valencia, Valencia, Spain, pp. 1632-1638, 2016.
- 34. Mikusova M., Torok A., Brida P.: Technological and economical context of renewable and non-renewable energy in electric mobility in Slovakia and Hungary. In: Ngoc-Thanh Nguyen, et al. (eds) ICCCI 2018 - 10th International Conference on Computational Collective Intelligence - Special Session on Intelligent Sustainable Smart Cities, LNCS, 11056 LNAI, Springer, Heidelberg, pp. 429-436, 2018.
- 35. Mikusova M., Callejas-Cuervo M., Valero-Bustos H.A., Alarcón-Aldana A.C.: Integration of Simulation Techniques: System Dynamics and Intelligent Agents Applied to a Case Study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11684 LNAI, pp. 510-517, 2019.
- 36. Mikusova M.: Crash avoidance systems and collision safety devices for vehicle In: MATEC Web of conferences: dynamics of civil engineering and transport structures and wind engineering – DYN-WIND’2017, Vol. 107, article num. 00024. Trstená, Slovak Republic, 2017.
- 37. Mikusova M.: Joint efforts needed to prevent traffic accidents, injuries and fatalities. In: Safety and Security Engineering V, WIT Transactions on The Built Environment, 134, pp. 503-514. WITT Press, 2013.
- 38. Minami N., S. Madnick, “Using Systems Analysis to Improve Traffic Safety,” no. September, 2010.
- 39. Moudra K., Matowicki M., Pribyl O., Bruhova Foltynova H.: Potential of a Travel Mode Change in Smart Cities: A Review. 2019 Smart Cities Symposium Prague, SCSP 2019 - Proceedings, 8805724, 2019.
- 40. Olejnik K., Lopuszynski M., Koszalka G., Grencik J.: Behavior of vehicle drivers while approaching an intersection after the traffic light signal changes from green to yellow. 2018 XI International Science-Technical Conference Automotive Safety, 2018.
- 41. Pospelov P.I., Shit B.A., Abdunazarov J.N.: Designing parking spaces in a car park. Science and Technology in the Road Industry, No. 2, pp. 6-10, 2016.
- 42. Rasmussen J., Svedung I., Proactive Risk Management in a Dynamic Society, 2000.
- 43. Romanowska A., Okraszewska R., Jamroz K.: A study of transport behaviour of academic communities. Sustainability, Switzerland, 11/13, 3519, 2019.
- 44. Rybicka I., Caban J., Vrabel J., Sarkan B., Stopka O., Misztal W.: Analysis of the Safety Systems Damage on the Example of a Suburban Transport Enterprise. 2018 XI International Science-Technical Conference Automotive Safety, 2018.
- 45. Sadikov J. Improving the theoretical foundations of forecasting and managing the system of road assets. Doctoral thesis. Tashkent Institute for the Design, Construction and Operation of Roads, p. 197, 2019.
- 46. Sarkan B., Skrucany T., Semanova S., Madlenak R., Kuranc A., Sejkorova M., Caban J.: Vehicle coast-down method as a tool for calculating total resistance for the purposes of type-approval fuel consumption. Scientific Journal Of Silesian University Of Technology-Series Transport, Vol. 98, pp. 161-172, 2018.
- 47. Skrucany T., Kendra M., Skorupa M., Grencik J., Figlus T.: Comparison of chosen environmental aspects in individual road transport and railway passenger transport. 12th International Scientific Conference of Young Scientists on Sustainable, Modern and Safe Transport, Vol. 192, pp. 806-811, 2017.
- 48. Skrucany T., Vrabel J., Kendra M., Kazimir P.: Impact of Cargo Distribution on the Vehicle Flatback on Braking Distance in Road Freight Transport. 18th International Scientific Conference-LOGI 2017, Vol. 134, 2017.
- 49. Soto-Torres M. D., Fernandez-Lechon R.: Road safety strategies: An analysis with system dynamics. Proc. 30th Int. Conf. Syst. Dyn. Soc., pp. 1–10, 2012.
- 50. Tatari O., Onat N., Abdel-Aty M, Alirezaei M.: Dynamic Simulation Models for Road Safety and Its Sustainability Implications. University of Central Florida, Safety Research Using Simulation University Transportation, p. 68, 2015.
- 51. Topolšek D., M. Lipicinik: System dynamic model of measures for reducing the number of road accidents due to wrong-way movement on motorways. Promet - Traffic – Traffico, 21/2, pp. 85–91, 2009.
- 52. Török Á., Pethő Z.: Introducing safety and security co-engineering related research orientations in the field of automotive security. Periodica Polytechnica Transportation Engineering, 48/4, pp. 349-356, 2020.
- 53. Török Á., Szalay Z., Uti G., Verebélyi B.: Rerepresenting autonomated vehicles in a macroscopic transportation model. Periodica Polytechnica Transportation Engineering, 48/3, pp. 269-275, 2020.
- 54. Wachnicka J., Jamroz K., Smolarek L.: Hierarchical random models in road transport safety. Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014, pp. 355-360, 2015.
- 55. Wachnicka J., Smolarek L.: The multivariate multilevel analysis of different regional factors impact on road safety in European Country Regions (TNR 11). Journal of Konbin, 24/1, pp. 141-148, 2012.
- 56. Wachnicka, J.: Mathematical models as practical tool for road fatalities forecasts on road network in regions. MATEC Web of Conferences, 231, 01018, 2018.
- 57. World Health Organization et al. Global status report on road safety 2018: Summary. World Health Organization, WHO/NMH/NVI/18.20.2018, 2018.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ce35a562-63de-4409-a1b6-b1e0d2eb008b