Minimum-Cost Implementation of Traffic Information System over Wireless Mesh Network
Bibliographic record
Abstract
As the traffic situations on highways and streets become more variable and more complex every day, the deployment of a traffic information system (TIS) becomes inevitable. In this paper, we develop an advanced wireless mesh architecture for TIS (WMTIS) which provides vehicles with the least delay routes to their destinations. The contributions of the paper are twofold. First, we propose an efficient communication framework for a TIS based on wireless mesh networking, i.e., WMTIS, and shed light on the mechanisms and the functional elements of WMTIS that are required to be deployed over the wireless mesh topology in order to support traffic applications. The performance improvements of WMTIS over fully ad-hoc TISs are verified via simulations. Second, we propose an approach to minimize the deployment cost of WMTIS while keeping the round trip delays of traffic information messages below the maximum tolerable delay in traffic applications. We use simulations to demonstrate the effectiveness of the proposed cost minimization approach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".