Abstarct: Abstract In recent years, accident statistics show that a large percentage of them are related to the characteristics of horizontal curve or vertical alignment of highways. Among these characteristics, the curved components of the horizontal curve type have numerous statistics. Many studies show that the assumptions of the AASHTO Code (Green Book), especially the point mass model, can not be a good predictor of road components’ safe values due to the lack of consideration for driving behavior. Loop ramps are complex due to their combination of horizontal curves and vertical alignments. Analyzing driving behavior and measuring safety levels can provide insights for designers and improve the performance and alignment of design assumptions with actual loop behavior. Therefore, the primary objective of this research is to explore the performance and geometric configuration of the main body and general shape of free-flow loop ramps in the free-following mode. The study uses data from a UAV to investigate vehicle demand behavior. Maximum lateral acceleration (ay,i) in loops is used as a Surrogate Safety Measure (SSM), along with a new parameter, the a/b ratio, to determine the general shape of loop bodies. The study presents the Loop Safety Level (LSL), an approach for proactive risk analysis and ranking that relies on threshold lateral acceleration (at), 85th percentile maximum lateral acceleration (ay,max,85%), and crash analysis. Comparing crash statistics with lateral acceleration results enables the LSL to provide appropriate safety ratings and diagnose loop segment safety. A prediction model for maximum lateral acceleration, baxsed on loop geometry, demonstrates a good fit (R2=0.88) between observed and predicted data. The study enhances understanding of safety considerations in geometric configuration and general shape enhancement of loops during the design process.