ADAS i.e. Advanced Driver Assistance Systems are pivotal towards amplifying road safety by reducing human error and assisting drivers in critical situations. Most major ADAS technologies are developed and validated using data and test scenarios that are predominantly based on the driving conditions and road environments of developed countries. However, in a country like India, where driving behavior, traffic dynamics, road infrastructure, and accident characteristics differ significantly, the ADAS technologies and test scenarios validated by different forums create a critical gap in deploying such systems on vehicles to work on Indian roads. The major aim of this study was to determine and generate India-specific ADAS test scenarios from the Road Accident Sampling System India (RASSI) database, available MoRTH reports, and data from previously executed ADAS test cases. Through this research, we propose a methodology to identify, extract, and analyze accident scenarios pertaining to the Indian driving environment and their usefulness in developing ADAS technologies to achieve the best results when deployed on vehicles in India. The RASSI database provides exposure to various data factors related to accidents from accident reconstructions, such as velocities at different timestamps, positions of vehicles with respect to time, and pre-crash maneuvers. In addition, the data from MoRTH reports regarding different categories of vehicle collisions will be analyzed extensively for scenario identification and generation for the evaluation of different ADAS functionalities, like Forward Collision Warning, Lane departure warning (LDW), Automatic emergency braking (AEB), and Blind spot detection System. Furthermore, the data generated from the available ADAS Test validations were examined to verify the different parameters related to specific ADAS features. For the purpose of authentication of the pinpointed scenarios, they will be simulated in the simulation software named IPG Carmaker for affirmation of the effectiveness of ADAS functionality if present in the India specific identified accident test scenarios. With the purpose of minimizing the localization gap in ADAS testament, this study provides a data driven, standardized approach towards generation of test scenarios adapted to Indian driving environment.