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Application of Intelligent Transport Systems in Road Traffic: A Review

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New Technologies, Development and Application VI (NT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 687))

Abstract

Intelligent transport systems imply the application of modern information, communication, and sensor systems in order to increase traffic safety and the quality of transport and travel services. Today's transport is unimaginable without intelligent transport systems. The application of intelligent transport systems provides a number of social benefits, such as safer road transport, reduced negative impact on the environment, reduced transport costs, improved transport conditions,… In this paper will be presented intelligent transport systems, as well as how their application has a favorable effect on road traffic.

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References

  1. Ribeiro, D.A., Melgarejo, D.C., Saadi, M., Rosa, R.L., Rodríguez, D.Z.: A novel deep deterministic policy gradient model applied to intelligent transportation system security problems in 5G and 6G network scenarios. Phys Commun. 56, 101938 (2022)

    Article  Google Scholar 

  2. Darrigo, D.: Car Accident Statistics you Need to Know in 2021 Accessed 28 Nov 2022 https://www.ddlawtampa.com/resources/car-accident-statistics-you-need-to-know-in-2021/

  3. Thompson, J. et al.: A global analysis of urban design types and road transport injury: an image processing study, The Lancet Planetary Health 4(1) e32-e42.(2020)

    Google Scholar 

  4. Statista: Distribution of carbon dioxide emissions produced by the transportation sector worldwide in 2020, by subsector Accessed 28 Nov 2022 https://www.statista.com/statistics/1185535/transport-carbon-dioxide-emissions-breakdown/

  5. Čižiūnienė, K., Bureika, G., Matijošius, J.: Challenges for Intermodal Transport in the Twenty-First Century: Reduction of Environmental Impact Due the Integration of Green Transport Modes. In: Sładkowski, A. (ed.) Modern Trends and Research in Intermodal Transportation. SSDC, vol. 400, pp. 307–354. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-87120-8_6

    Chapter  Google Scholar 

  6. Oyelade, A.O., Maku, O.E., Oladimeji, O.: The Effect of CO2 Emissions on Quality of Life in Anglophone Countries in West Africa. African J. Eco. Rev.iew 10(1), 27–41 (2022)

    Google Scholar 

  7. Marta, K.: Expectations for the use of Intelligent Transport Systems applications in the management of freight transport enterprises. Procedia Comput. Sci. 192, 2318–2329 (2021)

    Article  Google Scholar 

  8. Tahir, M.N., Katz,M., Saud, M.S.: Implementation of a cooperative intelligent transport system utilizing weather and road observation data. In: Krishnamurthi, R., Kumar, A., Gill, S. (eds.) Autonomous and Connected Heavy Vehicle Technology, Elsevier Inc. (2022).https://doi.org/10.1016/B978-0-323-90592-3.00016-1

  9. Toni, L., Tuomo,K., andJuho, K.: Public transport innovation platform boosting Intelligent Transport System value chains,Utilities Policy 62, 1–8.(2020)

    Google Scholar 

  10. Lv, Z., Shang, W.: Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: A comprehensive review. Green Technol Sustain. 1, 100002 (2023)

    Article  Google Scholar 

  11. Amir, R.M., Mohsen, F.Z., Christe,H., Trond, N.: Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector DataPromet - Traffic&Transportation 26(2), 139–150.(2014)

    Google Scholar 

  12. Haris, I., Akhmad,S., Wahyu, I.: Perancangandanimplementasi security system padasepeda motor menggunakanRFID sensor berbasis raspberry pi,RESISTOR (ElektronikaKendali Telekomunikasi Tenaga ListrikKomputer)2(1), 29–38.(2019)

    Google Scholar 

  13. Arghya,S.,Prabhat, R.: Electronic Vehicle Identification: Towards Enabling Intelligent Transportation System in India,Technology Foresight 3(6), 18–23.(2014)

    Google Scholar 

  14. Cherry, M., Shalli, R., Norbert, H.: A misbehavior detection framework for cooperative intelligent transport SYSTEMS. ISA TRANS (2022). https://doi.org/10.1016/j.isatra.2022.08.029

    Article  Google Scholar 

  15. Malygin, I., Komashinskiy, V., Korolev, O.: Cognitive technologies for providing road traffic safety in intelligent transport systems. Trans. Res. Procedia 36, 487–492 (2018)

    Article  Google Scholar 

  16. Ehlers, U.C., Ryeng, E.O., McCormack, E., Khan, F., Ehlers, S.: Assessing the safety effects of cooperative intelligent transport systems: A bowtie analysis approach. Accid. Anal. Prev. 99, 125–141 (2017)

    Article  Google Scholar 

  17. Sharma, A., Shabaz, M.: SLA-trust-energy aware path computation for critical services in Blockchain-enabled intelligent transport system. Comput. Commun. 196, 109–116 (2022)

    Article  Google Scholar 

  18. Rudskoy, A., Ilin, I., Prokhorov, A.: Digital Twins in the Intelligent Transport Systems. Trans. Res. Procedia 54, 927–935 (2021)

    Article  Google Scholar 

  19. Alexander, M., Ekaterina, B.: Functional model of an intelligent decision support system for ernational conference of Arctic transport accessibility: networks and sys. Trans. Res. Procedia 57, 363–369 (2021)

    Article  Google Scholar 

  20. Wang, X., Ning, Z., Wang, L.: Offloading in Internet of vehicles: A fog-enabled real-time traffic management system. IEEE Trans. Industr. Inf. 14(10), 1568–4578 (2018)

    Article  Google Scholar 

  21. Lytras, M.D., Visvizi, A., Sarirete, A.: Clustering smart city services: perceptions, expectations, responses. Sustainability 11(6), 1669 (2019)

    Article  Google Scholar 

  22. Khodaparastan, M., Mohamed, A.A., Brandauer, W.: Recuperation of regenerative braking energy in electric rail transit systems. IEEE Trans. Intell. Transp. Syst. 20(8), 2831–2847 (2019)

    Article  Google Scholar 

  23. Pell, A., Nyamadzawo, P., Schauer, O.: Intelligent transportation system for traffic and road infrastructure-related data. Int. J. Adv. Logistics 5(1), 19–29 (2016)

    Article  Google Scholar 

  24. Chen, Y., Ardila-Gomez, A., Frame, G.: Achieving energy savings by intelligent transportation systems investments in the context of smart cities. Trans. Res. Part D: Transp. Environ. 54, 381–396 (2017)

    Article  Google Scholar 

  25. Peng, T., Yang, X., Xu, Z., Liang, Y.: Constructing an environmental friendly low-carbon-emission intelligent transportation system based on big data and machine learning methods. Sustainability 12(19), 8118 (2020)

    Article  Google Scholar 

  26. Ouallane, A.A., Bakali, A., Bahnasse, A., Broumi, S., Talea, M.: Fusion of engineering insights and emerging trends: Intelligent urban traffic management system. Inf. Fusion 88, 218–248 (2022)

    Article  Google Scholar 

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Acknowledgment

This paper was realized within the framework of the project “The research of vehicle safety as part of a cybernetic system: Driver-Vehicle-Environment”, ref. no. TR35041, funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia.

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Correspondence to Nadica Stojanovic .

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Stojanovic, N., Grujic, I., Boskovic, B. (2023). Application of Intelligent Transport Systems in Road Traffic: A Review. In: Karabegovic, I., Kovačević, A., Mandzuka, S. (eds) New Technologies, Development and Application VI. NT 2023. Lecture Notes in Networks and Systems, vol 687. Springer, Cham. https://doi.org/10.1007/978-3-031-31066-9_74

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