실시간 교통 상황 정보 추정을 통한 속도 계획 알고리즘 개발

초록

This paper proposes speed-planning algorithm to minimize fuel consumption by estimating traffic condition. There are many researcher undergoing strategies to reduce fuel consumption and emission on highway and arterial road. Excessive acceleration, deceleration and Idling generate unnecessary fuel consumption and emission. There are many cause of making frequent speed change in urban road like traffic light or queue. To reduce fuel consumption at the intersection, it is important to estimate traffic light and traffic conditions. Vehicles driving through urban intersection can compute optimal speed by estimating Queue clearance time and signal changing time. In this study, we present algorithm providing speed-planning with estimated traffic condition at intersection. This algorithm is simulated by microscopic traffic simulation model (Aimsun).