Driving is an intricate and demanding task with numerous distractions that divert the driver's focus away from significant events and elevate the demands on cognitive resources. Road accidents have significant social and economic impacts particularly for developing countries with highest number of road fatalities and minimal resources to minimize road risks. Therefore, the objective of the current study was to develop and validate indigenous scales to assess risks associated with traffic causalities. In the first qualitative phase, risk factors were examined qualitatively. Results of Thematic analysis identified risk perception and cognitive load as two of the risk factors. Therefore, an item pool was generated (for both scales) and validated by Subject Matter Experts (SMEs). Based on their feedback, six overlapping items were removed and an initial pool comprising of 30 items was finalized for Driving Related Cognitive Load Scale (DRCLS) while 36 items were finalized for Driving Related Risk Perception Scale (DRRPS). These were administered on drivers (N = 631) with an age range of 18-65 years (M = 37.90, SD = 11.15) in the second phase to establish construct validity through EFA; two factors for each scale were retained with minimum factor loading of .29. Explained variance of two factors of DRCLS (14-items) was 26.83% and 22.30%. However, explained variance of DRRPS (13-items) was 40.92% and 14.23%. Two factors of DRRPS were named as perceived risk of traffic (8 items) and perceived risk of weather (5 items). Moreover, the two factors of DRCLS are: external factors (7 items) and personal and professional factors (7 items). Additionally, Cronbach alphas and construct validity based on significant positive inter-subscale correlations and correlations with total score were satisfactory. The findings would be helpful to develop interventions that could help driver to effectively cope with their driving demands.