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http://dx.doi.org/10.12815/kits.2021.20.6.214

Comparative Analysis of Driving Difficulty of Automated Vehicles in Therms of Road Infrastructure Using AHP Method  

Wee, Jeongran (Dept. of the Fourth Industrial Revolution & Transport., Korea Transport Institute)
Lee, Jongdeok (Dept. of the Fourth Industrial Revolution & Transport., Korea Transport Institute)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.20, no.6, 2021 , pp. 214-227 More about this Journal
Abstract
The purpose of this study is to find the driving difficulty of automated vehicles in terms of road infrastructure operation. It was judged out of this study that the level of automated driving would be enhanced if the road situation recognition ability was advanced through the presentation of infrastructure information during the difficult driving situations. The difficulty evaluation index was divided into three stages, and a survey of experts and an AHP were conducted. The result of the AHP showed that the driving difficulty of the interrupted flow was much higher than that of the uninterrupted flow. The AHP results also showed that and the driving difficulty of unsignalized intersections and roundabouts under an interrupted flow was evaluated as the highest. The top six driving situations with high difficulty were also evaluated to occur under unsignalized intersections and roundabouts.
Keywords
Connected Automated Driving; Driving Difficulty Condition; Road Infrastructure; Analytic Hierarchy Process(AHP);
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