India National Highway Development Phase 2026-27
Sector: Government • Location: India
Source: Business Standard
The National Highways Authority of India (NHAI) plans to award 4,000 km of highway projects and construct 5,000 km of highways in 2026-27. The strategy focuses on better planning, asset quality, digital technologies, and innovative financing, including asset monetisation through Toll-Operate-Transfer projects, Infrastructure Investment Trusts, and project-specific financing models. Advanced techno
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned and ongoing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The National Highways Authority of India (NHAI) plans to award 4,000 km of highway projects and construct 5,000 km of highways in 2026-27. The strategy focuses on better planning, asset quality, digital technologies, and innovative financing, including asset monetisation through Toll-Operate-Transfer projects, Infrastructure Investment Trusts, and project-specific financing models. Advanced technologies such as drone surveys, AI-enabled traffic management, digital inspections, and Multi Lane Free Flow tolling are being adopted to improve efficiency and user experience. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |