Automated Vehicles (AVs) have drawn significant attenti\non recently. The purpose of\nthis study is to evaluate the impact of AVs on freeway traffic performance using\nVISSIM software to model and evaluate the traffic performance at different mode\nshare scenarios and demand to capacity ratios. The results showed t hat increasing\nAVs improves freeway traffic performance. The maximum improvement was\nachieved at 100% AVs and demand to capacity ratio of 1.2. In this case, the increase\nin speed is about 115%, the reduction in the average travel time is about 48%, and the\naverage delay is lower by about 87%. The minimum effect is achieved at 0.6 demand\nto capacity ratio at 5% AVs. In addition , t test and regression analyses were utilized to\ndetermine the relationship between the AVs mode share and the freeway performance\nm easures and to check if the differences between traffic performance measures are\nstatistically significant.\nKeywords:\nAutomated Vehicles, Regular Vehicles, average speed, travel time, delay,\ndemand to capacity ratio.

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