A Report on the Development of Guidelines for ApplyingRight-Turn Slip Lanes
Bibliographic record
Abstract
This report serves as a summary of the research process regarding the application of right-turn slip lanes in the state of Texas. The work plan was divided into three phases: a review of available literature on the design and operation of right-turn slip lanes, focus group meetings to discuss the synthesis findings with Texas Department of Transportation (TxDOT) representatives, and production of design guidelines pertaining to right-turn slip lanes that accommodate mobility as well as pedestrian and bicyclist safety. The new construction guidance provided for urban and suburban roadways is inspired by the City of Ottawa’s “urban smart channel” design that incorporates a sharp angle of entry into the cross street (~70 degrees) and delineates a narrow turning path for passenger cars using pavement markings. This design promotes slower turn speeds and enhances visibility of the pedestrian crossing location. The sharp angle of entry reduces the head turning required of motorists to search for gaps in oncoming traffic and thus, improves driver comfort. The design includes a crosswalk located in the middle of the channelized roadway that is perpendicular to the turning roadway. The rural design guidance mainly centers on facilitating mobility through the slip lane, as regular pedestrian activity is not typical at rural intersections. Accordingly, the design promotes larger sweeping turns, the use of acceleration lanes, unpaved channelizing islands, and a flatter angle of entry into the cross street. The design guidelines also include a section on retrofitting treatments, targeting issues commonly found at right-turn slip lanes: absence of proper refuge for pedestrians, motorist noncompliance in yielding to crossing pedestrians, pedestrian noncompliance with the crosswalk location, high speeds in the channelized roadway, low visibility of crossing pedestrians, and excessive head turning to spot oncoming traffic.
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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 | 0.063 | 0.086 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.009 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.021 | 0.012 |
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".