Road asset inventory and pavement condition data surveying is one of the important tasks in road planning, designing, construction, maintenance and management practices, particularly for developing repair /maintenance, rehabilitation strategies and budgeting purposes. In India, this is largely being done via traditional field inspection techniques or manually using road videos or still images collected by dedicated road survey vehicles. This is very expensive, time consuming and has limited uses in road asset management. In this paper, methodologies for road asset inventory and pavement condition data assessment using a portable low-cost video imaging based system called BETQ PARSS-2016 are presented. Using this system, raw video clips of Indian rural roads are captured without any artificial lighting systems in normal day light conditions and processed using its semi-automated data processing software (SemiAsset and SemiDistress) for development of road asset inventory and condition database. The results indicate that the presented system has a significant capability in development of road asset inventory and condition database semi-automatically, accurately and objectively. And it is found to be a better choice for rural / PMGSY (Pradhan Mantri Gram Sadak Yojana) roads where dedicated road survey vehicles are very expensive and / or impossible to use.
Namita Akoijam, L. K. Das and Huidrom Lokeshwor