멀티 교차로 환경의 연비 최적 경로 결정 알고리즘

초록

Recently, the technologies for reducing fuel consumption and greenhouse gas emission have attracted much attention at automobile industry. Especially in urban areas where traffic volume is concentrated, environmental problems are more serious and important. With this situation the `Intelligent Transportation System(ITS)` has been developed to collect traffic information and provide it to vehicle and drivers. The traffic information collected at ITS can applied to the vehicle controller to effectively reduce fuel consumption. This Paper proposes path finding algorithm for determining the path, which minimizes fuel consumption, using vehicle model and traffic information. This fuel-optimal route decision algorithm estimates travel-time and travel-fuel-consumption and uses `Dynamic Programming(DP)` for optimization. The cost function used in DP is designed to minimize the fuel consumption used throughout the path. The fuel-optimal route decision algorithm is verified using AIMSUN intersection model that reflects the actual traffic environment.