Road Infrastructure Challenges Faced by Automated Driving: A Review

作者：Tomislav Mihalj, Hexuan Li, Darko Babić, Cornelia Lex, Mathieu Jeudy, Goran Zovak, Darko Babić, Arno Eichberger · 发表于：Applied Sciences · 年份：2022 · DOI：10.3390/app12073477 · 被引用次数：40 · 研究领域：Autonomous Vehicle Technology and Safety、Traffic and Road Safety、Traffic control and management

Automated driving can no longer be referred to as hype or science fiction but rather a technology that has been gradually introduced to the market. The recent activities of regulatory bodies and the market penetration of automated driving systems (ADS) demonstrate that society is exhibiting increasing interest in this field and gradually accepting new methods of transport. Automated driving, however, does not depend solely on the advances of onboard sensor technology or artificial intelligence (AI). One of the essential factors in achieving trust and safety in automated driving is road infrastructure, which requires careful consideration. Historically, the development of road infrastructure has been guided by human perception, but today we are at a turning point at which this perspective is not sufficient. In this study, we review the limitations and advances made in the state of the art of automated driving technology with respect to road infrastructure in order to identify gaps that are essential for bridging the transition from human control to self-driving. The main findings of this study are grouped into the following five clusters, characterised according to challenges that must be faced in order to cope with future mobility: international harmonisation of traffic signs and road markings, revision of the maintenance of the road infrastructure, review of common design patterns, digitalisation of road networks, and interdisciplinarity. The main contribution of this study ...