‘Ladder Car’ Used in Metro Cable Theft; Delhi Police Arrest Accused Across Multiple Cities

New Delhi: The IGI Airport Metro police have cracked a case involving the theft of metro signalling cables, arresting two accused and recovering stolen materials, tools, and a vehicle used in the crime.

Case Details
On 11 January, DMRC employee Sanjay Kumar Jha, working at Dhaula Kuan Metro Station (Airport Express Line), lodged a complaint with IGI Metro police reporting the theft of approximately 800 meters of signalling cable from the metro track between Dhaula Kuan and Shivaji Stadium Metro stations. Following the complaint, a case was registered, and a detailed investigation was launched.

How the Theft Was Traced
The stolen cable was found in a forest area near Buddha Garden, adjacent to the metro track. Despite the absence of cameras along the track, police reviewed footage from around 45 nearby CCTV cameras. The footage showed a white car arriving and leaving the area with a ladder, raising suspicion.

Recovery of Stolen Cable
During interrogation, the accused confessed to cutting the cables along with accomplices, including Pitambar alias Pete. Police recovered two wooden ladders, a cable-cutting tool, and around 15 meters of copper cable based on the accused’s information. They also revealed that the remaining cable was hidden with their absconding accomplices.

Investigation and Arrests
Police are continuing their efforts to apprehend the absconding accomplices and recover the remaining stolen cable. Investigation revealed that the car used in the crime had been bought and sold multiple times, leading authorities to conduct raids across Noida, Ghaziabad, Amroha, and other parts of Uttar Pradesh.

Based on reliable intelligence, police arrested two accused from Noida: Azim alias Mohammad Azmi (27) and Deepak (22). The car used in the theft has been seized by authorities.

The investigation highlights the organized nature of cable thefts targeting metro infrastructure and the coordinated efforts of Delhi Police to track culprits across multiple regions.