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Artificial intelligence (AI) is used in many aspects of life, from personal voice assistants to product recommendations in online stores to advanced diagnostic systems in medicine. All these applications show how AI technology is becoming an increasingly integral part of everyday life. Understanding the basics of AI is key to recognizing its role in traffic management. AI can be used to monitor and control road traffic, prevent traffic jams and road crashes, support vehicle diagnostics, and optimize response times for emergency services and roadside assistance. Particular attention should be paid to reducing the number of fatal road crashes. This goal is to be achieved by integrating AI with autonomous vehicle technology, which should improve or even reduce the number of road accident victims to 0.
Czasopismo
Rocznik
Tom
Strony
5--16
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
autor
- Military University of Technology; Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland
autor
- Politechnika Częstochowska; Gen. J.H. Dąbrowskiego 69, 42-218 Częstochowa, Poland
autor
- Military University of Technology; Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland
Bibliografia
- 1. Annex to the Communication from the Commission to the European Parliament, the Council, The European Economic and Social Committee and the Committee of the Regions Europe on the Move. Sustainable Mobility for Europe: safe, connected and clean. Available at: https://eurlex. europa.eu/resource.html?Uri=cellar%3a0e8b694e-59b5-11e8-ab41 01aa75ed71a1.0003.02/DOC_2&format=PDF.
- 2. Boukerche, A. & Wang, J. Machine learning-based traffic prediction models for Intelligent Transportation Systems. Comput. Netw. 2020. Vol. 181. No. 107530. DOI: 10.1016/j.comnet.2020.107530.
- 3. Data collected in the CARE database (Community database on road accidents) on road accidents, fatalities and injuries in 27 European Union member states and four EFTA countries (limited data from Liechtenstein). Available at: https://poland.representation.ec.europa.eu/news/smiertelnewypadki- na-unijnych-drogach-2024-03-08_pl.
- 4. DMV. Available at: https://www.dmv.ca.gov/portal/vehicle-industry-services/autonomousvehicles/ autonomous-vehicle-c.
- 5. European Commission proposes updated requirements for driving licences and better cross-border enforcement of road traffic rules. Available at: https://transport.ec.europa.eu/newsevents/ news/european-commission-proposes-updated-requirements-driving-licences-and-bettercross- border-2023-03-01_en.
- 6. Eurostat. 2024. Available at: https://ec.europa.eu/eurostat/databrowser/view/tran_sf_roadro/default/table?lang=en&category=tra n_sf.tran_sf_road
- 7. Kaplan, A. & Haenlein, M. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustration, and implications of artificial intelligence. Business Horizons. 2018. Vol. 62. No. 1. DOI: 10.1016/j.bushor.2018.08.004.
- 8. Kozicki, B. & Skrabacz, A. Impact of road accidents on the number of injured and killed in Poland compared to selected EU countries. Transport Problems. 2024. Vol. 19. No. 1. P. 57-67. DOI: 10.20858/tp.2024.19.1.05.
- 9. Kozicki, B. A New Method for Planning Needs in Terms of Security. In: 35th International Business Information Management Conference (IBIMA). 1-2 April 2020. Seville, Spain. 2020. P. 16819-16829. ISBN: 978-0-9998551-4-0.
- 10. Manyika, J. & Chui, M. & Miremadi, M. & Bughin, J. & George, K. & Willmott, P. & Dewhurst, M. Har nessing Automation for A Future That Works: automation, employment, and productivity. Report by McKinsey. 2017. Available at: http://www.mckinsey.com/glo bal-themes/digitaldisruption/ harnessing-automation-for-a-future-that-works.
- 11. Mobilising Intelligent Transport Systems for EU cities. European Commission, Brussels 2013. Available at: http://ec.europa.eu/transport/themes/urban/doc/ump/swd%282013%29527- communicat ion.pdf.
- 12. Müller, J.M. & Kiel, D. & Voigt, K.I. What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability. 2018. Vol. 10(1). No. 247. DOI: 10.3390/su10010247.
- 13. Musa, A. & Malami, S. & Alanazi, F. & Ounaies, W. & Alshammari, M. & Haruna, S.I. Sustainable traffic management for smart cities using internet-of-things-oriented Intelligent Transportation Systems (ITS): challenges and recommendations. Sustainability. 2023. Vol. 15(13). No. 9859. DOI: 10.3390/su15139859.
- 14. Narodowy Program Bezpieczeństwa Ruchu Drogowego 2021-2030. [In Polish: National Road Traffic Safety Program 2021-2030]. Available at: https://www.krbrd.gov.pl/narodowy-programbrd- 2021-2030/.
- 15. Negnevitsky, M. Artificial Intelligence: A Guide to Intelligent Systems. Harlow. 2005. Available at: http://www.academia.dk/BiologiskAntropologi/Epidemiologi/DataMining/Artificial_Intelligence- A_Guide_to_Intelligent_Systems.pdf.
- 16. POBR. 2024. Available from: https://obserwatoriumbrd.pl/roczne-dane-o-wypadkach-drogowychza- 2021-rok-w-unii-europejskiej-raport-europejskiego-obserwatorium-ruchu-drogowego-2022/.
- 17. Shan, M. & Narula, K. & Wong, Y.F. & Worrall, S. & Khan, M. & Alexander, P. & Nebot, E. Demonstrations of cooperative perception: safety and robustness in connected and automated vehicle operations. Sensors. 2021. Vol. 21(1). No. 200. DOI: 10.3390/s21010200.
- 18. Shit, R.Ch. Crowd intelligence for sustainable futuristic intelligent transportation system: A review, IET Intelligent Transport System. 2020. Vol. 14(6). P. 480-494. DOI: 10.1049/iet-its.2019.0321.
- 19. The Society for the Study of Artificial Intelligence and Simulation of Behavior (AISB), What is Artificial Intelligence. AISB. Available at: https://www.aisb.org.uk/public-engagement/what-is-ai.
- 20. World Health Organization. Global status report on road safety. 2023. Available at: https://www.who.int/teams/social-determinants-of-health/safety-and-mobility/global-status-reporton- road-safety 2023.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bdf03f07-8095-4ef2-9faf-d9a1d2e75f9f
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