Improving Traffic Flow at a Highway Tollgate with ARENA: Focusing on the Seoul Tollgate

Abstract

In this study, the effects of traffic flow improvements were compared in terms of real traffic data by using the level of congestion, throughput, and average duration time criteria. A current situation and a situation with smart tolling were considered in order to ensure the reliability of the results. The simulation consisted of six scenarios, the error rates were checked with 30 replications, and the error rates were noted to be lower than 0.5%. The scenarios were categorized by vehicle speeds that could affect subsequent vehicles. The smart tolling model was better than the current model overall. In particular, the results of comparing lifelike scenario 1 and scenario 6 with smart tolling are key. The results showed that the level of congestion and average duration time could be decreased to approximately 50%. With regard to the results, there are significant impacts on improving traffic flow while maintaining five lanes, unlike in the current model.