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Railways runs first double-stack container train from JNPT Mumbai

Indian Railways has successfully operated its first double-stack long-haul container train from JNPT Mumbai to Varnama in Vadodara Division. The train, comprising two rakes, transported 360 TEUs over a 422 km distance, showcasing enhanced freight handling capability. The initiative aims to reduce terminal congestion, improve rolling stock utilisation, and lower transportation costs.

Railways operates first double-stack long-haul container train from Jawaharlal Nehru Port Trust, Mumbai

Mumbai, August 22

Indian Railways achieved a major operational milestone by successfully operating its first double-stack long-haul container train from Jawaharlal Nehru Port Trust, Mumbai, carrying 360 TEUs of containers to CONCOR's Goods Cargo Terminal at Varnama in Vadodara Division.

Union Railways Minister Ashwini Vaishnaw posted on X the video of the double-stack long-haul container train from Jawaharlal Nehru Port Trust (JNPT), Mumbai, to Varnama in Vadodara Division.

The train, which departed from JNPT at 7 pm on August 21, covered a distance of approximately 422 km. The long-haul formation comprised two double-stack rakes, with the leading rake carrying 45+1 loads and hauled by locomotive number 60311 with a tonnage of 1,817 tonnes. The trailing rake also carried 45+1 loads and was hauled by locomotive number 24690 with a tonnage of 2,105 tonnes, a release said.

Together, the two rakes transported 360 TEUs in a single movement, showcasing Indian Railways' capability to handle higher volumes of containerised freight through long-haul operations.

The operation is expected to help reduce terminal congestion by enabling faster evacuation of containers from ports and terminals. Double-stack container trains also reduce the requirement for rolling stock, improve utilisation of route capacity and contribute to faster freight movement.

Indian Railways said the initiative will enhance freight carrying capacity while helping reduce transportation costs.

— ANI

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