Impact of Exclusive Bus Lanes on Traffic Performance in Urban Areas
Bibliographic record
Abstract
With the anticipated growth rates within cities in the UAE, there is a need for an efficient public transportation system including busses. One of the possible approaches to improve the bus system performance in the UAE is the use of exclusive bus lanes (XBLs). This study investigates the impact of XBLs on urban road network performance under different traffic conditions using the micro-simulation software, VISSIM. It considers different parameters such as demand-to-capacity ratio D/C, traffic turning percentages, and bus headway and direction. Results show that the XBLs are effective at D/C ratio of 0.80 or more. They also indicate that the turning percentages at the intersections have a significant impact on the XBLs performance. The XBLs were effective for the buses turning left for D/C ratio of 1.15 of the main road. Furthermore, the performance of vehicles in adjacent lanes deteriorates after the implementation of XBLs for all D/C ratios and the average deterioration percentages of vehicles' travel time, intersection delay, and average speed are +5%, +11%, and -5%, respectively.
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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 | 0.000 | 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 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".