HYDERABAD: In a move to address worsening traffic congestion in Hyderabad’s fast-growing western corridor, the HMDA is set to roll out a Comprehensive Road Infrastructure Development project for core transport assets in Cyberabad.
The initiative aims to upgrade road networks, junctions and pedestrian facilities in an integrated manner, moving away from isolated, piecemeal interventions to meet future mobility needs.
The proposed project will identify and prioritise critical infrastructure works, including strengthening and widening of existing corridors, development of missing links as per the master plan, and construction of grade separators such as flyovers, underpasses and interchanges. Plans also include elevated corridors, road overbridges (RoBs), road underbridges (RuBs), skywalks and foot overbridges (FoBs) to improve traffic flow.
The study area spans key growth zones, from Tellapur, Nallagandla and the Lingampally–Hitec City railway stretch in the north, to the Madhapur Road–Golconda Fort corridor via Durgam Cheruvu and the Hyderabad Knowledge City area in the east. It also covers Khajaguda and Avatar junctions, and the Outer Ring Road growth corridor, including Wipro Circle, Gopanpally Junction and the Financial District towards the south and south-west.
Officials said rapid growth in the western parts has further strained arterial and sub-arterial roads, while frequent intersections, lack of grade-separated pedestrian crossings, encroachments and uneven footpaths have intensified vehicle–pedestrian conflicts.
Sources said the Comprehensive Mobility Plan 2050 for the Hyderabad Metropolitan Area is in its final stages but, as a macro-level study, offers only broad insights into regional travel patterns and traffic volumes.
To address this, HMDA plans to undertake a meso-level sub-area traffic analysis for Cyberabad through specialised consultants, enabling finer assessment of local traffic conditions, short-distance trips, corridor operations and intersection improvements, while also strengthening regional travel demand models.