Abstract
Autonomous vehicle technology is introducing new capabilities and challenges to the transportation system. Along with its inclusion in the on-road transportation, industries are also adapting this technology for ground vehicles to increase the efficiency and safety of material transport at their facilities. Similar to the issues concerning on-road autonomous vehicle and road-user communication, the implementation of autonomous ground vehicles in industrial settings also requires ways for the vehicles to communicate with operators and people nearby. This study created videos of a simulated autonomous industrial vehicle equipped with different types of communicating features. An online survey collected responses (n = 1008) testing twelve external features for people nearby and ten internal features for operators. The findings reveal that a great deal of training is required for people to understand the features based on colored lights. Redundant features and the inclusion of clear texts and audible messages would facilitate comprehending a vehicle’s intended action.
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Deb, S., Carruth, D.W., Strawderman, L.J. (2020). A Survey Study to Explore Comprehension of Autonomous Vehicle’s Communication Features. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_7
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DOI: https://doi.org/10.1007/978-3-030-20503-4_7
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