Design of an Anti-Idling System for Police Vehicles
Bibliographic record
Abstract
A configurable, modular, and flexible vehicle model utilizing scalable powertrain components has been developed at the University of Waterloo. The configurable vehicle model is modified to create an anti-idling system for police vehicles, where an additional battery is utilized to reduce the amount of engine idling time. The goal of the design study is to perform modeling and simulation of the anti-idling system from a financial cost point of view, in order to investigate the potential cost and fuel reduction over a conventional system. The cost function includes the total cost of the battery, the equivalent fuel consumption, and the carbon tax over a period of five years. It is concluded that the anti-idling system demonstrated significant fuel and cost reduction compared to one without. Furthermore, it is found that depending on the SOC threshold of the power management logic, the duration of time over which the engine is activated varied in a non-linear fashion. Future works include performing optimization of the power management logic and also investigates the effects of utilizing different battery types and sizes.
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.
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".