Simulation-Based Performance Evaluation of the Road Network in the Aftermath of an Earthquake: A Case Study of Montreal Island (Poster)
Bibliographic record
Abstract
The transportation network plays an importation role in case of emergency. The efficiency of the rescue operation in an urban area largely depends on the performance of the transportation network. This paper simulates traffic flows in case of earthquakes and load this additional traffic flows into the network to evaluate the performance of the transportation system. This study also measures the seismic vulnerability of bridges within Montreal regions as per the bridge classes typical to National Building Inventory (NBI) through the development of bridge fragility curves. Based on the damage level estimated using HAZUS software, bridges are prioritized in order to rehabilitate bridges, or deployment of inspection crews for field assessment of bridge damage. This study can provide valuable insights to the first responders of earthquake disaster to take necessary actions for an efficient evacuation in a metropolitan area. Moreover, it can assist residents to plan their evacuation routes based on the prevailing road condition.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".