Automated vehicle monitoring and audit system for administering partnership haul agreements
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
Saskatchewan Department of Highways and Transportation has been a leader in road and short-rail transportation initiatives that facilitate efficient commercial transportation to remote northern and rural areas. A recent initiative undertaken by Saskatchewan Department of Highways and Transportation is a public-private partnership with commercial carriers to allow larger truck configurations to haul primary weights on select secondary rural roads if the carrier deploys road friendly vehicle technologies, such as air-spring suspension and central tire inflation. The pilot partnership haul program has resulted in haul cost savings of between 20% and 50%, generating approximately four million dollars per year in total, which is subsequently shared between the carrier and Saskatchewan Department of Highways and Transportation. At the present time, equitable distribution of partnership haul cost savings and compliance audits are determined manually based on submitted logbooks and waybills. Because this manual system is labor intensive and prone to accounting errors, the administration of the partnership haul program is only tenable for larger carriers with semi-automated administration systems. As a result, a system that automatically allocates partnership haul cost savings and performs compliance audits is the enabling technology to expand the partnership program to small and mid-size carriers. International Road Dynamics Inc. proposed and developed an automated vehicle monitoring and audit system that is designed to facilitate the Saskatchewan partnership program. This paper discusses the Saskatchewan partnership program and describes the technological features and advantages of the automated vehicle monitoring and audit system. This paper also discusses other potential applications of the automated vehicle monitoring and audit system.Key words: commercial vehicle operations, automated vehicle monitoring system, central tire inflation, geographic information systems, global positioning systems, transportation sustainability, road preservation, intelligent transportation systems, rural road management.
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