Abstarct: Short-term incidents occur in short periods of times which they lead negative impact on macroscopic traffic characteristics of highways including capacity, speed, and density. first this study is aimed to examine the effect of the first lane and second lane closure on generating shock waves and macroscopic traffic characteristics in a four-lane highway baxsed on field data. Second, it is extended LWR models baxsed on speed and density which were known as LWRu and 〖LWR〗^ρ, respectively. Then, the extended models are solved by Lax-Friedrichs scheme for two incident scenarios The results indicated that there was a reduction of 13% and 40% in the capacity of four-lane closure scenarios, respectively. However, the second lane closure scenario caused 40% decrease in capacity of four-lane highway. Shockwaves estimated by extended models indicated that the second lane closure had more significant effect on macroscopic traffic characteristics in comparison with the first lane closure. In order to compare the extended LWR models, sensitivity analysis approved that two models had the same performance on predicting the effect of shockwaves on macroscopic traffic characteristics for the first lane closure scenario. Meanwhile, the 〖LWR〗^ρmodel had better performance than the LWRu model for the second lane closure scenario. Therefore, experimental results on real datasets showed that the proposed models were the suitable systems for analyzing shockwave under congested traffic conditions which they presented higher accuracy compared with state-of-the-art methods