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This paper examines the safety benefit of connected vehicles (CV) and the connected vehicles lower level automation (CVLLA) on arterials’ using micro-simulation. Examining the lower level of automation is more realistic in the foreseeable future. This study considered two automated features: automated braking and lane keeping assistance which are available in the market. Driving behaviors of CV and CVLLA were proposed by considering car following models that approximate the decision processes of CV and CVLLA using C++ programming interface in VISSIM. The safety impact of both segment and intersection crash risks were quantified under various market penetration rates (MPRs) of CV and CVLLA based on surrogate safety assessment techniques. Two surrogate measures of safety: Time Exposed Time-to-Collision (TET) and Time Integrated Time-to-Collision (TIT) were considered to explore the segment crash risk and the results suggest that both CV and CVLLA reduce segment crash risk significantly compared to the baseline scenario. Furthermore, the intersection crash risk was evaluated through the number of conflicts extracted from microsimulation using the Surrogate Safety Assessment Model (SSAM). Towards that end, a binary logistic regression model was developed to quantify the crash risk in terms of observed conflicts obtained in the intersection influence areas. The logistic regression results clearly showed that both CV and CVLLA have lower intersection crash risks compared to the base scenario (non-CV scenario). Finally, in terms of both segment and intersection crash risks, CVLLA significantly outperformed CV …