IDM을 이용한 자율주행자동차 시장점유율 변화가 고속도로 교통류에 미치는 영향 분석
Analysis of Effects of Autonomous Vehicle Market Share Changes on Expressway Traffic Flow Using IDM
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초록
본 연구에서는 영동고속도로 용인IC∼양지IC구간을 대상으로 2020년 데이터를 활용하여자율주행자동차의 시장점유율 변화가 교통류에 미치는 영향을 추정하였다. 교통류에 미치는영향 정도를 추정하기 위해 미시교통시뮬레이션 모형인 VISSIM을 활용하였다. 자율주행자동차의 종방향 제어를 반영하기 위해서 intelligent driver model(IDM)을 구축 후 VISSIM에 적용하여 일반차와 비교를 수행하고 주행행태를 검증하였다. 자율주행자동차의 시장점유율에 따른이동성 및 안전성 분석 결과, 자율주행자동차 도입 시 시장점유율이 높아질수록 네트워크의이동성은 향상되지만, 안전성의 경우 차종이 혼재되었을 때 교통류가 불안정해지므로 더욱 안전 관리에 집중해야 한다는 것을 확인하였다.
Abstract
In this study, the impact of traffic flow on the market penetration rate of autonomous vehicles(AV) was analyzed using the data for the year 2020 of the Yongin IC∼Yangji IC section of Yeongdong Expressway. For this analysis, a microscopic traffic simulation model VISSIM was utilized. To construct the longitudinal control of the AV, the Intelligent Driver Model(IDM) was built and applied, and the driving behavior was verified by comparison with a normal vehicle. An examination of the study results of mobility and safety according to the market penetration rate of the AV, showed that the network’s mobility improves as the market penetration rate increases. However, from the point of view of safety, the network becomes unstable when normal vehicles and AVs are mixed, so there should be a focus on traffic management for ensuring safety in mixed traffic situations.
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