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Mumbai-Ahmedabad Bullet Train Project: Agreement Signed With Japan Railway Technical Service For Construction Of Rail Tracks

Mumbai Ahmedabad Bullet Train Project: System similar to Japan s Shinkansen will be adopted Indian Railways firm delegated for the implementation of the country s first bullet train project, recently signed an agreement with a Japanese organisation for the construction and design of rail track for the Mumbai-Ahmedabad high-speed rail corridor. The National High-Speed Rail Corporation Limited or NHSRCL signed a memorandum of understanding (MoU) with the Japan Railway Technical Service (JARTS) for advisory, training, and certification services for the railway track work. ( According to a statement released by the Indian Railways special purpose vehicle, the workforce of the track contractors will be trained in the highly specialised slab track technology of Japanese Shinkansen or high-speed railway line network of Japan. The rail track packages for the country s first bullet train corridor - Mumbai Ahmedabad high-speed rail, are open for participation by the Indian contractor

Delhi-Varanasi High-Speed Corridor: Aerial Ground Survey Conducted Through Laser Technique, GPS Data

According to NHSRCL, the ground survey is a crucial activity for any linear infrastructure project as the survey provides accurate details of areas around the alignment. The technique uses a combination of laser data, GPS data, flight parameters, as well as actual photographs to provide accurate survey data. The aerial LiDAR survey technique was adopted for the Mumbai-Ahmedabad high-speed rail corridor due to its high accuracy, which was the very first time when the method was utilized for any railway project in the country. The data provided through the LiDAR technology can be useful for several projects including surface transport, roads, irrigation, landslides, canals, city planning, etc. In order to provide clear pictures of the structures, trees, and other minute ground details, 60-megapixel cameras are being used for the LiDAR survey.

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