부산대학교 도서관

Autonomous vehicles are expected to contribute to improving traffic convenience in various ways, such as reducing traffic accidents and eliminating traffic congestion. However, when autonomous vehicles are driven on ordinary streets, the demand for pick-up cars by individual movement increases and the demand for stopping on the street space may increase. And traffic jams and delays may occur in the street space. In this study, a micro-traffic simulator was used to examine the street space in an autonomous driving society based on quantitative data, using the value of time and travel speed, which is slower than the free flow. Focusing on the boarding environment of autonomous vehicles and created scenarios that changed the boarding environment such as traffic spaces and curbside and analyzed them. As a result, it was found that on-street parking type landings can be used on streets with low traffic, but bus stop type landings should be prepared on streets with a certain amount of traffic.