Open AccessPrediction of Driver Behaviour in Different Driving Path by using Electric Buggy Car
Author(s) -
Hasri Haris,
Wan Khairunizam,
Hafiz Halin
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5426.118419
Subject(s) - heading (navigation) , computer science , path (computing) , position (finance) , electric vehicle , automotive engineering , steering wheel , set (abstract data type) , simulation , engineering , aerospace engineering , power (physics) , business , physics , finance , quantum mechanics , programming language
Each human has the capability to make decisions and respond to situations completely on its own based on their intelligence level and experience. During driving, ability makes the driver alert and know what they need to do in a certain situation. This paper aims to investigate human behaviour while driving the electric vehicle at the desired path. The electric buggy car is used and set up with equipment and sensor as an Electric Vehicle (EV). Several sensors used to collect data and certain criteria subjects are selected with the purpose to study their driving pattern. The speed, steering wheel angle, heading, and position of the buggy car is collected throughout the human navigation experiments. The behaviour of the human while driving in the straight path, turn left and turn right will be collected at the end of experiments.