Mobility Assessment of Pedestrian and Bicycle Treatments at Complex Continuous Flow Intersections
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 study evaluated the mobility performance of pedestrian-bicycle crossing alternatives at continuous flow intersections (CFIs). CFI crossing types were compared with a standard intersection designed to provide an equivalent volume-to-capacity ratio. Three CFI crossing alternatives were tested, namely traditional, offset, and midblock crossings. A total of 12 alternative scenarios were generated by incorporating two bicycle path types and two right-turn control types. These scenarios were analyzed through microsimulation on the basis of stopped delay and number of stops. Simulation results revealed that the offset crossing alternative incurred the least stopped delay for all user classes, including motorized traffic. The traditional crossing generated the least number of stops for most route types. The midblock crossing can be considered as a supplement to the offset and traditional crossings depending on the specific origin–destination patterns at the intersection. The exclusive bicycle path performed better than the shared-use path in most cases. When compared with an equivalent standard intersection, aggregated results showed significant improvement for all CFI crossing types with respect to stopped delay, but the standard intersection had an equal or fewer number of stops for most routes investigated. Regarding the effect on vehicular movement, the lowest volume-to-capacity ratio and control delay at the main intersection was incurred by the offset crossing. Future research should incorporate pedestrian-bicyclists’ safety, comfort, and the relative effects of these crossing alternatives on additional vehicular performance measures.
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