Vehicle automation and car-following models for accident avoidance

• Autorzy: Kadam Abhishikt , Andrew J. , Sagayam Martin , Hien Dang T.

Identyfikatory

DOI

10.15199/48.2020.01.26

Warianty tytułu

PL

Model autonomicznego pojazdu wyposażonego w układy unikania wypadku

• Języki publikacji: EN

Abstrakty

EN

Road accidents contribute to the greatest number of deaths in the world. Deaths and injuries due to road accidents result in financial losses as well as physical and mental suffering. Even though a good driver is attentive enough to take sudden decisions, at some point, there is a requirement for an automatic decision-making ability in the car. Cars that can take prompt actions based on the environment without the driver involved is called a smart car. The car-following models are methods used in smart cars for accident avoidance. This paper presents an in-depth survey of various car following models based on IoT sensors, weather & road conditions, V2V networks, machine learning algorithms. A comparative analysis of multiple research articles with its techniques, merits and research gap is presented. Finally, the inference of the literature survey is provided.

PL

W artykule zaprezentowano analizę autonomicznego pojazdu wyposażonego w szereg czujników, połączenie sieciowego I metody uczenia. Przedstawiono przegląd literatury na ten temat.

Słowa kluczowe

EN

V2V; Car-following model; accident avoidance; sensor; road accident

PL

pojazd autonomiczny; czujnik; układ unikania wypadku

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 1
• Strony: 118--123
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

Kadam Abhishikt

• Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

autor

Andrew J.

• Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

autor

Sagayam Martin

• Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

autor

Hien Dang T.

• Faculty of Computer Science and Engineering, Thuyloi University, Hanoi, Vietnam

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).