Police in Noida arrested two individuals, including the brother-in-law of the car owner, following a fatal run-in with an elderly pedestrian involving an Audi car. After their deadly driving spree, the culprits abandoned the vehicle in a parking lot near Delhi AIIMS and fled the scene. Now, police have apprehended both near Noida Sector 52 Metro Station.
Further investigations revealed that during the time of the incident at Sector 51, where the elderly citizen was struck, the car was being driven by an individual named Love, who was accompanied by Prince. Love was at the wheel, and the vehicle was registered in the name of Love's brother-in-law, Pramod. Both suspects were captured near the Sector 52 Metro Station in Noida.
Source: aajtak
Prior to the vehicle's recovery, the deceased elder's son, Sandeep, had accused the police of being sluggish in their investigation. Despite the fact that the family had provided the accident's CCTV footage, it was said that neither the car nor its driver could be located. However, shortly thereafter, the car was found parked at a Delhi parking facility.
Police recovered vehicle from parking lot
Noida police had earlier located the Audi car in Delhi with the aid of CCTV cameras. They retrieved the car from the NBCC parking lot near Delhi's AIIMS after assembling seven teams to conduct the search and scanning footage from about 150 CCTV cameras. It was a Haryana-registered Audi. Following the car's recovery, the driver was also arrested, and the search for the car owner is ongoing.
The incident occurred last Sunday
According to reports, early on Sunday morning, around 6 AM, Janakdev Shah, an elderly resident of Gizhod, was crossing near the Kanchanjunga Market in the Sector 24 police area. It was then that a high-speed white Audi came hurtling towards him and struck him. The elderly man attempted to avoid the collision, but it was too late. He was hit and flung into the air, landing at a distance, which led to his immediate death at the scene. The entire incident was captured by nearby CCTV cameras.
