개별 차량 속도 데이터 기반 교통혼잡비용 추정방법 개선 연구

Abstract

Traffic congestion costs refer to the costs of various types of losses resulting from traffic congestion. The traffic congestion cost is estimated by adding the vehicle operation cost and the time value cost, of which the time value cost accounted for about 80%. There have been various studies at home and abroad regarding traffic congestion cost estimation, but the traffic congestion cost based on average speed is commonly estimated. However, the following limitations arise when estimating the traffic congestion cost using the average speed. First, when using average speed, errors in congestion judgment may occur. In the case where the actual congestion traffic and the normal traffic flow are mixed, the average speed may be increased by the normal traffic, and thus the traffic may be determined as a non-congestion section even though the actual congestion occurs. Secondly, if congestion is determined according to the average speed, a dichotomous error is determined that all vehicles have experienced congestion or have not experienced congestion. Third, the error of underestimation occurs when using average speed. Since the average speed is the average value of the normal speed and the congestion speed, the congestion that is generated is offset by the normal speed and the traffic congestion cost must be underestimated. In order to improve the limitations of the average speed-based traffic congestion cost estimation method, this study proposes a traffic congestion cost estimation method based on individual vehicle speed data to estimate traffic congestion more accurately.