Development of the analytical system for vehicle operating conditions management in the V2I information complex using simulation modeling

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.215006

Keywords:

simulation modelling, vehicle, transport hub, operating conditions, public transport, information system, intelligent transport system

Abstract

In connection with the active development of information systems in transport, it becomes necessary to integrate vehicles, infrastructure and humans into a single information network. The V2I system of information analysis for monitoring and controlling vehicles in operating conditions is an organic combination of information and analytical components. The latter includes the analysis of information regarding changes in operating conditions. The article presents a study that has improved the processes of managing the operating conditions of vehicles in the V2I communication system by using simulation modelling. A simulation model for choosing the optimal operating conditions for vehicles is described. The model takes into account road, climatic, and transport conditions and culture of vehicle operation, as well as the peculiarities of public transport movement in a transport hub. The objective function with the appropriate restrictions and the problem of traffic optimization in the investigated transport hub were established. Diagrams of the processes of the simulation model were constructed for various input parameters, including the optimal ones, with the creation of corresponding agents and their populations. Models of public transport delays at stops using a triangular distribution were developed, and the corresponding hypotheses were confirmed by Pearson’s test (χ2). The developed models can be used in the process of rebuilding a transport hub, as well as for modeling traffic when the operating conditions of vehicles change and for predicting such changes. The simulation results can be used in the creation and design of intelligent transport systems

Author Biographies

Mykyta Volodarets, Pryazovskyi State Technical University Universytetska str., 2, Mariupol, Ukraine, 87555

PhD

Department of Electric Power Complexes and Systems

Igor Gritsuk, Kherson State Maritime Academy Ushakova ave., 20, Kherson, Ukraine, 73000

Doctor of Technical Sciences, Professor

Department of Vessel’s Power Plants Operation

Yevhen Ukrainskyi, Pryazovskyi State Technical University Universytetska str., 2, Mariupol, Ukraine, 87555

Senior Lecturer

Department of Automobile Transport

Vitalii Shein, Kharkiv National Automobile and Highway University Yaroslava Mudroho str., 25, Kharkiv, Ukraine, 61002

PhD

Department of Technology of Machinery Manufacturing and Machine Maintenance

Oleksii Stepanov, Kharkiv National Automobile and Highway University Yaroslava Mudroho str., 25, Kharkiv, Ukraine, 61002

Doctor of Technical Sciences, Associate Professor

Department of Traffic Management and Road Safety

Igor Khudiakov, Kherson State Maritime Academy Ushakova ave., 20, Kherson, Ukraine, 73000

Senior Lecturer

Department of Vessel’s Power Plants Operation

Maksym Ahieiev, Kherson State Maritime Academy Ushakova ave., 20, Kherson, Ukraine, 73000

PhD, Associate Professor

Department of Vessel’s Power Plants Operation

Vladimir Vychuzhanin, Odessa National Polytechnic University Shevchenka ave., 1, Odessa, Ukraine, 65044

Doctor of Technical Sciences, Professor

Department of Information Technologies

Oleh Smyrnov, Kharkiv National Automobile and Highway University Yaroslava Mudroho str., 25, Kharkiv, Ukraine, 61002

Doctor of Technical Sciences, Associate Professor

Department of Vehicle Electronics

Olexii Saraiev, Kharkiv National Automobile and Highway University Yaroslava Mudroho str., 25, Kharkiv, Ukraine, 61002

Doctor of Technical Sciences, Professor

Department of Automobiles named after A. B. Hredeskul

References

  1. Gritsuk, I. V., Volkov, V., Mateichyk, V., Grytsuk, Y., Nikitchenko, Y., Klets, D. et. al. (2018). Information Model of V2I System of the Vehicle Technical Condition Remote Monitoring and Control in Operation Conditions. SAE Technical Paper Series. doi: https://doi.org/10.4271/2018-01-0024
  2. Quan, J., Zhao, Y., Tan, G., Xu, Y., Huang, B., He, T. (2018). A Study on Safety Intelligent Driving System for Heavy Truck Downhill in Mountainous Area. SAE Technical Paper Series. doi: https://doi.org/10.4271/2018-01-1887
  3. Senapati, P. R. R., Das, S., Vora, P. B. (2017). Intelligent Braking and Maneuvering System for an Automobile Application. SAE Technical Paper Series. doi: https://doi.org/10.4271/2017-26-0080
  4. Gritsuk, I. V., Mateichyk, V., Aleksandrov, V., Prilepsky, Y., Panchenko, S., Kagramanian, A. et. al. (2019). Features of Modeling Thermal Development Processes of the Vehicle Engine Based on Phase-Transitional Thermal Accumulators. SAE Technical Paper Series. doi: https://doi.org/10.4271/2019-01-0906
  5. Gritsuk, I., Pohorletskyi, D., Mateichyk, V., Symonenko, R., Tsiuman, M., Volodarets, M. et. al. (2020). Improving the Processes of Thermal Preparation of an Automobile Engine with Petrol and Gas Supply Systems (Vehicle Engine with Petrol and LPG Supplying Systems). SAE Technical Paper Series. doi: https://doi.org/10.4271/2020-01-2031
  6. Golovan, A., Gritsuk, I., Popeliuk, V., Sherstyuk, O., Honcharuk, I., Symonenko, R. et. al. (2019). Features of Mathematical Modeling in the Problems of Determining the Power of a Turbocharged Engine According to the Characteristics of the Turbocharger. SAE International Journal of Engines, 13 (1). doi: https://doi.org/10.4271/03-13-01-0001
  7. Osipkov, V., Ksenevich, T. I., Belousov, B., Karasev, O., Sokolov, S., Rudynets, M. et. al. (2016). Intelligent Transport Systems: Revolutionary Threats and Evolutionary Solutions. SAE Technical Paper Series. doi: https://doi.org/10.4271/2016-01-0157
  8. Kiselev, A. B., Kokoreva, A. V., Nikitin, V. F., Smirnov, N. N. (2004). Mathematical modelling of traffic flows on controlled roads. Journal of Applied Mathematics and Mechanics, 68 (6), 933–939. doi: https://doi.org/10.1016/j.jappmathmech.2004.11.014
  9. Kelarestaghi, K. B., Heaslip, K., Khalilikhah, M., Fuentes, A., Fessmann, V. (2018). Intelligent Transportation System Security: Hacked Message Signs. SAE International Journal of Transportation Cybersecurity and Privacy, 1 (2), 75–90. doi: https://doi.org/10.4271/11-01-02-0004
  10. Županović, D., Anžek, M., Kos, G. (2012). Optimisation of Signal-controlled Intersection Capacity. PROMET - Traffic&Transportation, 22 (6), 419–431. doi: https://doi.org/10.7307/ptt.v22i6.207
  11. Zhao, F., Tan, H., Liu, Z. (2020). Safety Development Trend of the Intelligent and Connected Vehicle. SAE Technical Paper Series. doi: https://doi.org/10.4271/2020-01-0085
  12. Xu, Z. (2017). Macroscopic Traffic States Estimation Based on Vehicle-to-Infrastructure (V2I) Connected Vehicle Data. SAE Technical Paper Series. doi: https://doi.org/10.4271/2017-01-2013
  13. Guseynov, S. E., Berezhnoy, A. V. (2017). Modelling of urban traffic flow. Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference, 1, 109. doi: https://doi.org/10.17770/etr2017vol1.2632
  14. Li, J., Wu, J., Sun, H., Jiang, Y., Deng, W., Zhu, B. (2017). Traffic Modeling Considering Motion Uncertainties. SAE Technical Paper Series. doi: https://doi.org/10.4271/2017-01-2000
  15. Kim, N., Karbowski, D., Rousseau, A. (2018). A Modeling Framework for Connectivity and Automation Co-simulation. SAE Technical Paper Series. doi: https://doi.org/10.4271/2018-01-0607
  16. Kerner, B. S. (2009). Introduction to Modern Traffic Flow Theory and Control: The Long Road to Thre. Springer. doi: https://doi.org/10.1007/978-3-642-02605-8
  17. Dhanavanthan, B. (2017). Propagation Loss Measurements and Two Slope Modelling in Vehicular Environments for Intelligent Transportation Systems. SAE Technical Paper Series. doi: https://doi.org/10.4271/2017-01-0093
  18. Hull, T. (2017). Intelligent Robotics Safeguarding. SAE International Journal of Engines, 10 (2), 215–221. doi: https://doi.org/10.4271/2017-01-0293
  19. Wang, Y., Song, R., Yang, C. (2018). Research on Intelligent Vehicle Index and Evaluation Method. SAE Technical Paper Series. doi: https://doi.org/10.4271/2018-01-1634
  20. Falendysh, A., Kharlamov, P., Kletska, O., Volodarets, N. (2016). Calculation of the Parameters of Hybrid Shunting Locomotive. Transportation Research Procedia, 14, 665–671. doi: https://doi.org/10.1016/j.trpro.2016.05.325
  21. Falendysh, A., Volodarets, M., Kletska, O., Hatchenko, V. (2017). The impact of the type of operation on the parameters of a shunting diesel locomotive with hybrid power plant. MATEC Web of Conferences, 133, 03003. doi: https://doi.org/10.1051/matecconf/201713303003
  22. Gorobchenko, O., Fomin, O., Gritsuk, I., Saravas, V., Grytsuk, Y., Bulgakov, M. et. al. (2018). Intelligent Locomotive Decision Support System Structure Development and Operation Quality Assessment. 2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS). doi: https://doi.org/10.1109/ieps.2018.8559487
  23. Volodarets, M., Gritsuk, I., Chygyryk, N., Belousov, E., Golovan, A., Volska, O. et. al. (2019). Optimization of Vehicle Operating Conditions by Using Simulation Modeling Software. SAE Technical Paper Series. doi: https://doi.org/10.4271/2019-01-0099
  24. Gao, X., Deng, W., Wang, J. (2018). GPS Modeling for Vehicle Intelligent Driving Simulation. SAE International Journal of Connected and Automated Vehicles, 2 (1), 57–65. doi: https://doi.org/10.4271/2018-01-0763
  25. Lin, Z., Guo, X., Pei, X., Yang, B., Zhang, Y. (2017). Dynamic Modeling and State Estimation for Multi-In-Wheel-Motor-Driven Intelligent Vehicle. SAE Technical Paper Series. doi: https://doi.org/10.4271/2017-01-1996
  26. Kanchwala, H., Ogai, H. (2016). Development of an Intelligent Transport System for EV. SAE International Journal of Passenger Cars - Electronic and Electrical Systems, 9 (1), 9–21. doi: https://doi.org/10.4271/2015-01-9132
  27. Khastgir, S., Dhadyalla, G., Birrell, S., Redmond, S., Addinall, R., Jennings, P. (2017). Test Scenario Generation for Driving Simulators Using Constrained Randomization Technique. SAE Technical Paper Series. doi: https://doi.org/10.4271/2017-01-1672

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Published

2020-10-31

How to Cite

Volodarets, M., Gritsuk, I., Ukrainskyi, Y., Shein, V., Stepanov, O., Khudiakov, I., Ahieiev, M., Vychuzhanin, V., Smyrnov, O., & Saraiev, O. (2020). Development of the analytical system for vehicle operating conditions management in the V2I information complex using simulation modeling. Eastern-European Journal of Enterprise Technologies, 5(3 (107), 6–16. https://doi.org/10.15587/1729-4061.2020.215006

Issue

Vol. 5 No. 3 (107) (2020): Control processes

Section

Control processes

License

Copyright (c) 2020 Mykyta Volodarets, Igor Gritsuk, Yevhen Ukrainskyi, Vitalii Shein, Oleksii Stepanov, Igor Khudiakov, Maksym Ahieiev, Vladimir Vychuzhanin, Oleh Smyrnov, Olexii Saraiev

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