Prediction of Driver Behaviour in Different Driving Path by using Electric Buggy Car
Hasri Haris1, Wan Khairunizam2, Hafiz Halin3
1Hasri Haris, School of Mechatronic Engineering, University Malaysia Perlis (UniMAP), Perlis, Malaysia, Kolej Kemahiran Tinggi MARA Balik Pulau, Penang, Malaysia. Email:
2Wan Khairunizam, School of Mechatronic Engineering, University Malaysia Perlis (UniMAP), Perlis, Malaysia.
3Hafiz Halin, School of Mechatronic Engineering, University Malaysia Perlis (UniMAP), Perlis, Malaysia.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 11007-11010 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5426118419/2019©BEIESP | DOI: 10.35940/ijrte.D5426.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Human Behaviour, Electric Buggy Car, Electric Vehicle, Steering Wheel Angle.
Scope of the Article: Behaviour of Structures.