A validated fuzzy logic inspired driver distraction evaluation system for road safety using artificial human driver emotion

• Published in: Computer networks (Amsterdam, Netherlands : 1999) Vol. 143; pp. 62 - 73
• Main Authors: Riaz, Faisal, Khadim, Sania, Rauf, Rabia, Ahmad, Mudassar, Jabbar, Sohail, Chaudhry, Junaid
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 09.10.2018; Elsevier Sequoia S.A
• Subjects: Accident prevention; Algorithms; Artificial emotions; Automobile drivers; Collision avoidance; Driver assistant model; Driver behavior; Driver distraction learning; Drivers; Emotions; Fear; Forensic engineering; Fuzzy logic; Fuzzy sets; Fuzzy systems; Onboard equipment; Safe road traffic system; Safety; Scientific papers; Traffic accidents & safety; Validation studies; Fuzzy logic; Artificial emotions; Driver assistant model; Driver distraction learning; Safe road traffic system

This research paper presents a validated emotion enabled cognitive driver assistance model (EECDAM) as an accident prevention scheme while keeping in mind different types of driver distractions. It is observed that distracted drivers know that distraction can lead them to a crash but they are not aw...