Artificial intelligence techniques for driving safety and vehicle crash prediction

作者: Zahid Halim , Rizwana Kalsoom , Shariq Bashir , Ghulam Abbas

DOI: 10.1007/S10462-016-9467-9

关键词:

摘要: Accident prediction is one of the most critical aspects road safety, whereby an accident can be predicted before it actually occurs and precautionary measures taken to avoid it. For this purpose, models are popular in safety analysis. Artificial intelligence (AI) used many real world applications, especially where outcomes data not same all time influenced by occurrence random changes. This paper presents a study on existing approaches for detection unsafe driving patterns vehicle predict accidents. The literature covered from past 10 years, 2004 2014. AI techniques surveyed style crash prediction. A number statistical methods which accidents using different features also paper. studied compared terms datasets performance. We provide list simulators available scientific community conduct research subject domain. identifies some open questions that need addressed techniques.

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