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Advanced surface vehicles collision risk reduction system

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An idea of the innovative enhanced vehicle collision preventing system is presented. The system is based on usage of real-time information about vehicles mutual positions, trajectories and movement, which will be collected by mobile sensor network created ad-hoc by vehicles entering a potentially colliding area. The system will particularly consider vehicles movements dynamics, procedures of secure approaching and passing-by processes as well as remote warnings about traffic obstacles ahead. Premises and assumption for possible procedures and algorithms referred to such a network functionalities involving dispersed mechanism of drivers behaviours coordination is analysed, taking into account also some possible and allowed level of automation of the autonomous control an steering of the vehicle. Moreover, a possibility of system cooperation with various brand contemporary equipment of ITS Advanced Driver Assistance Systems type is analyzed. Results of analysis will be presented first of all to traffic participants and to appropriate traffic management services.
Rocznik
Strony
42--46
Opis fizyczny
Bibliogr. 12 poz.
Twórcy
autor
  • University College Of Technology And Business In Warsaw, ul. Szachowa 1, 04-894 Warsaw, Poland
autor
  • IRIS LAB, via Kufstein, 38121 Trento, Italy
autor
  • Warsaw University Of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland
Bibliografia
  • [1] SYMON, E.: Wypadki drogowe w Polsce w 2015 roku, Komenda Głowna Policji - Biuro Ruchu Drogowego, 2016
  • [2] GWARDA-ŻURAŃSKA, J.: Społeczne i ekonomiczne koszty wypadków drogowych w Polsce, (in Ekonomia i nauki o zarządzaniu w warunkach integracji europejskiej) Wydawnictwo Uniwersytetu Łódzkiego, 2013
  • [3] LAUKKONEN, J.: 13 Advanced Driver Assistance Systems, Available: www.lifewire.com/advanced-driver-assistance-systems. 2016 [date of access: 2.02.2017]
  • [4] U.S. DOT advances deployment of Connected Vehicle, Available: https://www.nhtsa.gov/press-releases/us-dotadvances-deployment-connected-vehicle-technologyprevent-hundreds-thousands [date of access: 2.02.2017]
  • [5] Advanced Driver Assistance Systems, Available: https://en.wikipedia.org/wiki/Advanced_driver_assistance_systems [date of access: 2.02.2017]
  • [6] WYDRO, K.: Mobile telematic applications based on object positioning, Journal of Telecommunications and Information Technology, National Institute of Telecommunications, nr 1, 2010
  • [7] WYDRO, K.: Basics of transport information management, Archives of Transport System telematics, vol 4, Issue 3 Sept. 2011
  • [8] ABRAHAM, A., FALCON, R., KOEPPEN, M.: Computational Intelligence in Wireless Sensor Networks, Recent Advances and Future Challenges, Chapter: Ayalew Belay, Habtie
  • [9] ABRAHAM, A., MIDEKSO D.: Artificial Neural Network Based Real-Time Urban Road Traffic State Estimation Framework, Pages 73-97, Springer International Publishing 2017
  • [10] MACFARLANE, J., et al.: Adaptive traffic dynamics prediction, US 9536424 B2 Available: https://www.google.com/patents/US9536424 [date of access: 2.02.2017]
  • [11] GUT-MOSTOWY, H., WYDRO, K.: System e-Call jako wyposażenie inteligentnego pojazdu, Magazyn Autostrady, nr 10, 2008.
  • [12] https://www.google.pl/ADAS [date of access: 2.02.2017]
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7a745bf2-3cbf-4ed6-b359-a499e74f8ee6
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