교차로 형상 정보를 반영한 연비 최적 속도 프로파일 결정 알고리즘

Abstract

This paper presents the method for determining the speed profile to minimize fuel consumption using information on the intersection structure. Numerous previous papers have suggested that fuel consumption can be minimized by driving at constant speed. The driving pattern in urban area have frequent deceleration, acceleration, and idling that make unnecessary fuel consumption and carbon emissions. An individual vehicle moving along the urban street are difficult to drive at constant speed because of a lot of obstructions consisting of traffic light, queue, and intersection structure. Fuel consumption is greatly influenced by road curve, and acceleration characteristic. Therefore, optimal speed profile can be computed using intersection structure information, vehicle dynamics model. This algorithm simulated on several intersections with various shape and various traffic environments. The simulation environment is developed by microscopic traffic simulation tool and the proposed algorithm is realized by using Python. Simulations show that the information about intersection and traffic condition provides benefits in terms of fuel economy.