Naturalistic study on communication in mixed traffic scenarios autonomous vehicle vs motorcyclist

Lee, Chun Kheng (2021) Naturalistic study on communication in mixed traffic scenarios autonomous vehicle vs motorcyclist. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This paper discusses whether the knowledge of the automation of an oncoming vehicle (Av vs. Non-Av) affects Motorcyclist’s decision to cross the junction. In addition, this paper investigates how different appearances interact with the driving style in affecting motorcyclists’ willingness to cross the junction. In a video-based experiment with 54 participants, two vehicles (Perodua Myvi) with different colors (grey vs. white) are presented as automated vehicles and manually-driven vehicles. A LiDAR was designed and set up on the top of the automated vehicle. Both vehicles go through 4 scenarios (right turn, right straight, left turn, and left straight) with different driving styles (assertive vs. defensive) at the junction. The participants were asked to indicate whether they would cross into the junction in front of the approaching vehicle at a distance ranging from 100 m to 25 m. The data was collected through Google form and analyzed using SPSS statistics. The results showed no significant influence of the knowledge of the automation on the Motorcyclist’s willingness to cross into the junction. Although there was no significance in three-way interaction and two-way interaction in the analysis, we found that the motorcyclists have more trust in automated vehcile than manually-driven vehicles at distances 50 m and 25 m. We conclude by discussing the limitation and the future of the study.

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