Travel Planning Concept Taking Road Infrastructure Condition into Account
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
the paper provides a discussion on the problem of integration of the Pavement Management System data with a travel planner for purposes of planning of travel routes avoiding sections of roads and streets which do not conform with specific technical quality levels established under a procedure of the road infrastructure condition assessment. The solution proposed in the study comprises a highly advanced Intelligent Transport System which increases the efficiency of traffic planning and organisation in a city, referred to as urban mobility. Furthermore, the paper addresses methods applied to assess the road pavement condition in the Pavement Management System based on visual solutions of pavement condition assessment, including methods based on stereo visual imaging of the road pavement examined. Information and Communication Technologies have been discussed with regard to a mobile travel planner enabling route planning in any location by means of mobile devices. The article also provides a case study of travel route planning with reference to pre-set parameters describing technical condition of road infrastructure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it