Foreign experience in road transport safety and its possibility of its use in Ukraine
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 article presents a comprehensive study of foreign experience in road transport safety, covering examples of leading countries, in particular the member states of the European Union, the countries of Northern Europe, the United States of America, Canada and Japan. Various institutional models of road safety management implemented in the indicated jurisdictions are analyzed, highlighting the features of their regulatory and legal regulation, strategic planning, interagency coordination and public involvement. Considerable attention is paid to innovative technologies, in particular intelligent transport systems (ITS), digital monitoring and response platforms. Standards of safe infrastructure, preventive, communication and educational programs aimed at increasing the responsibility of road users are considered. The effectiveness of legal mechanisms for influencing driver behavior, including penalty policy, points system, insurance models and law enforcement practice, is separately analyzed. The focus is on the multi-vector nature of the national road safety policy and its key priorities are identified: reducing the accident rate, modernizing the regulatory framework, activating investment activities in the transport sector, expanding international partnerships, introducing mandatory third-party liability insurance for car owners, etc. The article substantiates the possibilities of implementing best international practices into the Ukrainian legal, institutional and economic environment, taking into account the specifics of the domestic law enforcement system, available financial resources and socio-cultural conditions. A number of practical recommendations are formulated for reforming the national road safety system, which include: improving legislation, implementing an integrated road traffic management system, digitalizing state supervision and control procedures, establishing a sustainable partnership with civil society institutions, and developing safe 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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