GEOGRAPHIC INFORMATION SYSTEM (GIS) BASED HIGHWAY ASSET MANAGEMENT SYSTEM FOR MOTORWAYS: CASE STUDY OF MAJOR PAKISTAN’S MOTORWAYS
Bibliographic record
Abstract
:Result of pavement condition survey, conducted by NHA in 2005, showed that 43%of existing NHA network has remaining service life (RSL) of0 to1 year. Asset replacement value ofNational Highway was estimated more than 600 Billion in 2005 by Road Way Asset ManagementDivision. This largest investment is deteriorating at fast pace, main cause being increased axle loadingand lack of maintenance.The study was carried out to develop GIS based Highway Asset ManagementSystem(GHAMS) for M-1 and M-3Motorways.Digitized database was established to develop QueryBasedinterface on ArcGIS. The developed system, GHAMS, produced different outputs like thematicmaps, graphs and charts that would assist authorities and decision makers to carry outmaintenance/rehabilitation works of NationalMotorways timely and efficiently. Moreover, this querybased system would lead to save intense pavement damages and subsequent high maintenance /construction cost.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".