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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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)
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/
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)
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/
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
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)
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)
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
Toni, L., Tuomo,K., andJuho, K.: Public transport innovation platform boosting Intelligent Transport System value chains,Utilities Policy 62, 1–8.(2020)
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)
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)
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)
Arghya,S.,Prabhat, R.: Electronic Vehicle Identification: Towards Enabling Intelligent Transportation System in India,Technology Foresight 3(6), 18–23.(2014)
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
Malygin, I., Komashinskiy, V., Korolev, O.: Cognitive technologies for providing road traffic safety in intelligent transport systems. Trans. Res. Procedia 36, 487–492 (2018)
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)
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)
Rudskoy, A., Ilin, I., Prokhorov, A.: Digital Twins in the Intelligent Transport Systems. Trans. Res. Procedia 54, 927–935 (2021)
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)
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)
Lytras, M.D., Visvizi, A., Sarirete, A.: Clustering smart city services: perceptions, expectations, responses. Sustainability 11(6), 1669 (2019)
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)
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)
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)
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)
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)
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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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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