Integral Evaluation of Implementation Efficiency of Automated Hardware Complex for Vehicle Traffic Control

Document Type : Special Issue on FPP

Authors

Department of Transport and Technological Processes and Machines, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation

Abstract

Reducing the speed of the vehicle can reduce the risk and severity of the collision. Automatic means of vehicle traffic operation control, such as automatic speed cameras, is one of the main methods to solve traffic violations such as speeding. This study takes the actual operation of the automated hardware complex for vehicle traffic control in the Russian Federation as the research objective, and discusses the impact of the application of automated hardware complex for vehicle traffic control on traffic safety. In the process of building the automated traffic flow monitoring system of urban agglomeration, it is necessary to form a set of methodology to evaluate the hardware complex of traffic infrastructure. According to the research results of the influence of vehicle traffic automation and control system on road safety, a model, method and algorithm were developed to evaluate the efficiency of automated hardware complex for vehicle traffic control. The relevant factors introduced into the intelligent transportation system for the overall evaluation of the application efficiency of the vehicle traffic operation control automation hardware complex were determined. A life cycle model of automated hardware complex for vehicle traffic operation control was established to evaluate its operation efficiency in the development stage of intelligent transportation system, and on this basis, the maneuverability standard of urban agglomeration traffic monitoring system management is determined. The results show that the number of hardware complexes used in vehicle traffic operation control has a positive impact on the road traffic accident rate. It is suggested that the standard of one hardware complex for every 6.5 thousand registered vehicles in this area should be used as an indicator of the equipment level of the integrated automated system for vehicle traffic control in this area.

Graphical Abstract

Integral Evaluation of Implementation Efficiency of Automated Hardware Complex for Vehicle Traffic Control

Keywords

Main Subjects


  1. Alonso F, Faus M, Tormo MT, Useche SA. Could technology and intelligent transport systems help improve mobility in an emerging country? Challenges, opportunities, gaps and other evidence from the caribbean. Applied Sciences. 2022;12(9):4759. 10.3390/app12094759
  2. Drop N, Garlińska D. Evaluation of intelligent transport systems used in urban agglomerations and intercity roads by professional truck drivers. Sustainability. 2021;13(5):2935. 10.3390/su13052935
  3. Janušová L, Čičmancová S. Improving safety of transportation by using intelligent transport systems. Procedia Engineering. 2016;134:14-22. 10.1016/j.proeng.2016.01.031
  4. Sumalee A, Ho HW. Smarter and more connected: Future intelligent transportation system. Iatss Research. 2018;42(2):67-71. 10.1016/j.iatssr.2018.05.005
  5. Du Y, Wang J, Rizos C, El-Mowafy A. Vulnerabilities and integrity of precise point positioning for intelligent transport systems: Overview and analysis. Satellite Navigation. 2021;2:1-22. 10.1186/s43020-020-00034-8
  6. Perković T, Šolić P, Zargariasl H, Čoko D, Rodrigues JJ. Smart parking sensors: State of the art and performance evaluation. Journal of Cleaner Production. 2020;262:121181. 10.1016/j.jclepro.2020.121181
  7. Won M. Intelligent traffic monitoring systems for vehicle classification: A survey. IEEE Access. 2020;8:73340-58. 10.1109/ACCESS.2020.2987634
  8. Shepelev V, Aliukov S, Nikolskaya K, Das A, Slobodin I. The use of multi-sensor video surveillance system to assess the capacity of the road network. Transport and Telecommunication Journal. 2020;21(1):15-31. 10.2478/ttj-2020-0002
  9. Safiullin R, Tian H. Method of Effective Implementation of Intelligent Hardware Complexes in the Management of Passenger Transportation Processes within Urban Agglomerations. The Open Transportation Journal. 2024;18(1). 10.2174/0126671212272101231128060012
  10. Lamssaggad A, Benamar N, Hafid AS, Msahli M. A survey on the current security landscape of intelligent transportation systems. IEEE Access. 2021;9:9180-208. 10.1109/ACCESS.2021.3050038
  11. Li R, Kido A, Wang S. Evaluation index development for intelligent transportation system in smart community based on big data. Advances in Mechanical Engineering. 2015;7(2):541651. 10.1155/2014/541651
  12. Kurganov VM, Gryaznov MV, Kolobanov SV. Assessment of operational reliability of quarry excavator-dump truck complexes. Записки Горного института. 2020;241:10-21. 10.31897/pmi.2020.1.10
  13. Bosikov II, Klyuev RV, Mayer АV. Comprehensive assessment of hydraulic fracturing technology efficiency for well construction during hydrocarbon production. Записки Горного института. 2022;258:1006-13. 10.31897/PMI.2022.98
  14. Ol’t Y, Maksarov V, Makhov V. Intelligence systems for quality assessment of threaded surfaces and flaw monitoring based on digital light field recording. Russian Journal of Nondestructive Testing. 2020;56:915-26. 10.1134/S1061830920110054
  15. Corona B, Shen L, Reike D, Carreón JR, Worrell E. Towards sustainable development through the circular economy—A review and critical assessment on current circularity metrics. Resources, Conservation and Recycling. 2019;151:104498. 10.1016/j.resconrec.2019.104498
  16. Yasar A, Adnan M, Ectors W, Wets G. Comparison review on LIDAR technologies vs. RADAR technologies in speed enforcement system. Personal and Ubiquitous Computing. 2023;27(5):1691-700. https://doi.org/10.1007/s00779-023-01736-x
  17. Melnikova O, Nazarychev A, Suslov K. Enhancement of the technique for calculation and assessment of the condition of major insulation of power transformers. Energies. 2022;15(4):1572. 10.3390/en15041572
  18. Kaparias I, Liu P, Tsakarestos A, Eden N, Schmitz P, Hoadley S, et al. Predictive road safety impact assessment of traffic management policies and measures. Case studies on transport policy. 2020;8(2):508-16. 10.1016/j.cstp.2019.11.004
  19. Lee K-H. A study on distance measurement module for driving vehicle velocity estimation in multi-lanes using drones. Applied Sciences. 2021;11(9):3884. 10. 3390/ app11 093884
  20. Zemenkova MY, Chizhevskaya EL, Zemenkov YD. Intelligent monitoring of the condition of hydrocarbon pipeline transport facilities using neural network technologies. Записки Горного института. 2022;258:933-44. https://doi.org/10.31897/PMI.2022.105
  21. Wang C, Yin F, Zhao Y, Yin L. Making Transportation Systems in US Cities Smarter and More Inclusive: A Synthesis of Challenges and Evaluation of Strategies. ISPRS International Journal of Geo-Information. 2023;12(2):72. 10.3390/ijgi12020072
  22. Høye A. Speed cameras, section control, and kangaroo jumps–a meta-analysis. Accident Analysis & Prevention. 2014;73:200-8. https://doi.org/10.1016/j.aap.2014.09.001
  23. Thomas LJ, Srinivasan R, Decina LE, Staplin L. Safety effects of automated speed enforcement programs: critical review of international literature. Transportation Research Record. 2008;2078(1):117-26. 10.3141/2078-16
  24. Vasilev B, Nguyen T. Influence of semiconductor converters on asynchronous drive battery and motor in mining machines. MIAB Min Inf Anal Bull. 2023;9:299-318. 10.25018/0236_1493_2023_91_0_299
  25. Li H, Graham DJ, Majumdar A. The impacts of speed cameras on road accidents: An application of propensity score matching methods. Accident Analysis & Prevention. 2013;60:148-57. 10.1016/j.aap.2013.08.003
  26. Khattak ZH, Magalotti MJ, Fontaine MD. Operational performance evaluation of adaptive traffic control systems: A Bayesian modeling approach using real-world GPS and private sector PROBE data. Journal of Intelligent Transportation Systems. 2020;24(2):156-70. 10.1080/15472450.2019.1614445
  27. Erke A, Goldenbeld C, Vaa T. Good practice in the selected key areas: Speeding, drink driving and seat belt wearing: Results from meta-analysis. Police Enforcement Policy and Programmes on European Roads (PEPPER), Deliverable. 2009;9.
  28. Gafur S, Andrey S, Liliya S, Vadim F. Assessment of damage of metallic elements in oil and gas facilities using small punch test. International Journal of Applied Engineering Research. 2017;12(21):11583-7. https://www.ripublication.com/ijaer17/ijaerv12n21_148.pdf
  29. Jones AP, Sauerzapf V, Haynes R. The effects of mobile speed camera introduction on road traffic crashes and casualties in a rural county of England. Journal of safety research. 2008;39(1):101-10.
  30. Shaaban K, Siam A, Badran A. Analysis of traffic crashes and violations in a developing country. Transportation research procedia. 2021;55:1689-95. https://doi.org/10.1016/j.trpro.2021.07.160
  31. Jeong-Gyu K. Changes of speed and safety by automated speed enforcement systems. IATSS research. 2002;26(2):38-44.
  32. Aloui A, Hamani N, Derrouiche R, Delahoche L. Systematic literature review on collaborative sustainable transportation: overview, analysis and perspectives. Transportation Research Interdisciplinary Perspectives. 2021;9:100291. 10.1016/j.trip.2020.100291
  33. Schipachev A, Fetisov V, Nazyrov A, Donghee L, Khamrakulov A. Study of the pipeline in emergency operation and assessing the magnitude of the gas leak. Energies. 2022;15(14):5294. https://doi.org/10.3390/en15145294
  34. Nikolaev A, Romanov A, Zaripova N, Fetisov V, editors. Modeling of flow in field pipeline to confirm effectiveness of insertion of splitting couplings in control of rill-washing corrosion. IOP Conference Series: Earth and Environmental Science; 2018: IOP Publishing.
  35. Degrande T, Vannieuwenborg F, Verbrugge S, Colle D. Deployment of Cooperative Intelligent Transport System infrastructure along highways: A bottom-up societal benefit analysis for Flanders. Transport policy. 2023;134:94-105. 10.1016/j.tranpol.2023.02.013
  36. Safiullin R, Reznichenko V, Safiullin R, editors. The software adaptive system for managing the heavy cargo transportation process based on the automated vehicle weight and size control system. Journal of Physics: Conference Series; 2021: IOP Publishing.
  37. Scellato S, Fortuna L, Frasca M, Gómez-Gardenes J, Latora V. Traffic optimization in transport networks based on local routing. The European Physical Journal B. 2010;73:303-8. https://doi.org/10.1140/epjb/e2009-00438-2
  38. Scellato S, Leontiadis I, Mascolo C, Basu P, Zafer M. Evaluating temporal robustness of mobile networks. IEEE Transactions on Mobile Computing. 2011;12(1):105-17. 10.1109/TMC.2011.248
  39. Fetisov V, Davardoost H, Mogylevets V. Technological aspects of methane–hydrogen mixture transportation through operating gas pipelines considering industrial and fire safety. Fire. 2023;6(10):409. https://doi.org/10.3390/fire6100409
  40. Lyu N, Deng C, Xie L, Wu C, Duan Z. A field operational test in China: Exploring the effect of an advanced driver assistance system on driving performance and braking behavior. Transportation research part F: traffic psychology and behaviour. 2019;65:730-47. 10.1016/j.trf.2018.01.003
  41. Khalturin AA, Parfenchik KD, Shpenst VA. Features of oil spills monitoring on the water surface by the Russian Federation in the Arctic region. Journal of Marine Science and Engineering. 2023;11(1):111. 10.3390/jmse11010111
  42. Jansuwan S, Liu Z, Song Z, Chen A. An evaluation framework of automated electric transportation system. Transportation Research Part E: Logistics and Transportation Review. 2021;148:102265. 10.1016/j.tre.2021.102265
  43. Tu Z, Qiao L, Nowak R, Lv H, Lv Z. Digital twins-based automated pilot for energy-efficiency assessment of intelligent transportation infrastructure. IEEE Transactions on Intelligent Transportation Systems. 2022;23(11):22320-30. 10.1109/TITS.2022.3166585
  44. Nikolaev A, Dokoukin V, Lykov Y, Fetisov V, editors. Research of processes of heat exchange in horizontal pipeline. IOP Conference Series: Materials Science and Engineering; 2018: IOP Publishing.
  45. Brand D. Criteria and methods for evaluating intelligent transportation system plans and operational tests. Transportation Research Record. 1994;1453:1-15.
  46. Newman-Askins R, Ferreira L, Bunker JM, editors. Intelligent transport systems evaluation: From theory to practice. 21st ARRB and 11th REAAA conference; 2003.
  47. Lim KYH, Zheng P, Chen C-H. A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives. Journal of Intelligent Manufacturing. 2020;31(6):1313-37. 10.1007/s10845-019-01512-w
  48. Safiullin RN, Safiullin RR, Belikova DD, Tian H, editors. System-target logistic approach to the formation of integrated automated control systems for weight control of vehicles. AIP Conference Proceedings; 2023: AIP Publishing.
  49. Ugolnikov AV, Makarov NV. Application of automation systems for monitoring and energy efficiency accounting indicators of mining enterprises compressor facility operation. Записки Горного института. 2019;236:245-8. https://doi.org/10.31897/pmi.2019.2.245
  50. Marusin A, Tian H, Safiullin R, Safiullin R, Marusina I, editors. Integral Evaluation of the Effectiveness of the Implementation of Automated Technical Means of Controlling the Movement of Vehicles on the Road. 2022 International Conference on Engineering Management of Communication and Technology (EMCTECH); 2022: IEEE. 10.1109/EMCTECH55220.2022.9934048
  51. Maha Vishnu V, Rajalakshmi M, Nedunchezhian R. Intelligent traffic video surveillance and accident detection system with dynamic traffic signal control. Cluster Computing. 2018;21:135-47. 10.1007/s10586-017-0974-5
  52. Dolinina O, Motorzhin A, Poltoratzky V, Kandaurov A, Shatunov S, Kartashev A, editors. Methodological Foundations for the Application of Video Analytics and Incident Management Technologies in Real-Time Detection and Control Systems for Road Incidents. International Scientific and Practical Conference​ in Control Engineering and Decision Making; 2020: Springer.
  53. De Winter JC, Gosling SD, Potter J. Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data. Psychological methods. 2016;21(3):273. 10.1037/met0000079
  54. Lund J, Aarø LE. Accident prevention. Presentation of a model placing emphasis on human, structural and cultural factors. Safety science. 2004;42(4):271-324. 10.1016/S0925-7535(03)00045-6
  55. Bocchini P, Frangopol DM, Ummenhofer T, Zinke T. Resilience and sustainability of civil infrastructure: Toward a unified approach. Journal of Infrastructure Systems. 2014;20(2):04014004. 10.1061/(ASCE)IS.1943-555X.0000177
  56. Vrubel YА, Kapsky D, Kot E. Determination of losses in road traffic. Minsk: Belarusian National Technical University. 2006.
  57. Dinges E. Methods for planning and evaluating the effectiveness of measures to improve road safety. Moscow: Publisher: Moscow Automobile and Road Technical University. 2016.
  58. Petrov AI, Kolesov VI, Petrova DA. Theory and Practice of Quantitative Assessment of System Harmonicity: Case of Road Safety in Russia before and during the COVID-19 Epidemic. Mathematics. 2021;9(21):2812. 10.3390/math9212812
  59. Fetisov V, Shalygin AV, Modestova SA, Tyan VK, Shao C. Development of a numerical method for calculating a gas supply system during a period of change in thermal loads. Energies. 2022;16(1):60. https://doi.org/10.3390/en16010060
  60. Dreyfuss M, Sher M. Policies for operating enforcement cameras. Journal of Transportation Safety & Security. 2020;12(6):746-63. 10.1080/19439962.2018.1552638
  61. Gogolinskiy KV, Syasko VA. Metrological assurance and standardization of advanced tools and technologies for nondestructive testing and condition monitoring (NDT4. 0). Research in Nondestructive Evaluation. 2020;31(5-6):325-39. 10.1080/09349847.2020.1841863
  62. Kazanin O, Meshkov A, Sidorenko A. Prospects for development of a technological structure of underground coal mines. MIAB Mining Inf Anal Bull. 2022(6-1):35-53. 10.25018/0236_1493_2022_61_0_35
  63. Simonova L, Dem’yanov D, Kapitonov A. Smart information system for generating design constraints in the auto industry. Russian Engineering Research. 2020;40:1034-8. 10.3103/S1068798X20120199
  64. Ramavath S, Suryawanshi S. Optimal Prediction of Shear Properties in Beam-Column Joints Using Machine Learning Approach. International Journal of Engineering, Transactions A: Basics. 2024;37(1):67-82. 10.5829/ije.2024.37.01a.07
  65. Ghaderi F, Toloei A, Ghasemi R. Formation Control and Obstacle Avoidance of a Multi-Quadrotor System Based on Model Predictive Control and Improved Artificial Potential Field. International Journal of Engineering, Transactions A: Basics. 2024;37(1):115-26. 10.5829/ije.2024.37.01a.11
  66. Aleksander G P, Yifan T, Fuming Z. Predicting Service Life of Polyethylene Pipes under Crack Expansion using. International Journal of Engineering, Transactions C: Aspects. 2023;36(12):2243-52. 10.5829/ije.2023.36.12c.14
  67. Yigitcanlar T, Li RYM, Inkinen T, Paz A. Public perceptions on application areas and adoption challenges of AI in urban services. Emerging Sciences Journal. 2022;6(6):1199-236. https://doi.org/10.28991/ESJ-2022-06-06-01
  68. Saputra D, Gaol FL, Abdurachman E, Sensuse DI, Matsuo T. Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters. Emerg Sci J. 2023;7(4):1188-205. https://doi.org/10.28991/ESJ-2023-07-04-011
  69. Palaev G A, Fuming Z, Yifan T. Method for Assessing Damage to Gas Distribution Network Pipelines based on Nonlinear Guided Wave. International Journal of Engineering, Transactions B: Applications. 2024;37(5):852-9. 10.5829/ije.2024.37.05b.04
  70. Didmanidze ON, Afanasev AS, Hakimov RT. Natural gas methane number and its influence on the gas engine working process efficiency. Записки Горного института. 2021;251:730-7. https://doi.org/10.31897/PMI.2021.5.12
  71. Caroles L, Adisasmita SA, Pamungkas PB. Concept of an intelligent parking system; efforts to resolve traffic conflicts regulations. Civil Engineering Journal. 2023;9:65-74. https://doi.org/10.28991/CEJ-SP2023-09-05
  72. Махараткин П, Абдулаев Э, Вишняков Г, Ботян Е, Пушкарев А. Повышение эффективности функционирования карьерных автосамосвалов на основе обоснования их рациональной скорости с помощью имитационного моделирования. Горный информационно-аналитический бюллетень. 2022(6-2):237-50.
  73. Сержан СЛ, Малеванный ДВ. Технология глубоководной добычи твердых полезных ископаемых с применением промежуточной капсулы. Горное оборудование и электромеханика. 2023(2 (166)):49. 10.26730/1816-4528-2023-2-49-56
  74. Trufanova I, Nevzorov D. Mining informational and analytical bulletin (scientific and technical journal). 2023.