Flexible, Mobile Video Camera System and Open Source Video Analysis Software for Road Safety and Behavioral Analysis
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
This paper presents a scalable, discreet, mobile video camera system that takes elevated video data of roadway locations for traffic safety analysis. The video is used to extract microscopic traffic parameters that include road user trajectories, lane changes, and speeds. Collected video data are processed with an open source automatic tracking tool. Trajectories can then be used to analyze road user behavior for specific locations (intersections or highway sections) or to evaluate the safety effectiveness of a treatment. The different elements of the system, including data collection and processing, are discussed. To illustrate the system's versatility, applications (case studies) illustrate the use of the video camera system and open source video-tracking and analysis tool. These studies include video-based analysis of conflict at highway ramps and behavioral analysis of pedestrians and cyclists at signalized intersections that includes red light violations.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 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 it