Model autonomicznego pojazdu wyposażonego w układy unikania wypadku

Translated title of the contribution: Vehicle automation and car-following models for accident avoidance

Abhishikt Kadam, J. Andrew, K. Martin Sagayam, Dang T. Hien

Research output: Contribution to journalReview articlepeer-review

4 Citations (Scopus)

Abstract

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.

Translated title of the contributionVehicle automation and car-following models for accident avoidance
Original languageUndefined/Unknown
Pages (from-to)118-123
Number of pages6
JournalPrzeglad Elektrotechniczny
Volume96
Issue number1
DOIs
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Vehicle automation and car-following models for accident avoidance'. Together they form a unique fingerprint.

Cite this