Stability and Intervehicle Distance Analysis of Vehicular Platoons: Highlighting the Impact of Bidirectional Communication Topologies
Why this work is in the frame
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Bibliographic record
Abstract
Vehicular platooning, a configuration comprising a leading vehicle and multiple follower vehicles (FVs) seeks to achieve and maintain specific intervehicle distances (IDs) while synchronizing FVs with the velocity and acceleration of the leading vehicle. Before attaining a desired stable state, the IDs may undergo transient fluctuations. While the attainment of internal stability is pivotal for realizing the intended spacing between vehicles, it does not inherently guarantee that these transient fluctuations remain within safe thresholds, thereby mitigating the risk of collisions. Communication between vehicles has a critical role in vehicular platooning and significantly influences these transient distance fluctuations. Consequently, we present a mapping between the initial conditions and these transient fluctuations which hinges on the communication topology (CT), as well as the control parameters. Specifically, our focus is directed toward bidirectional CTs (BDCTs), wherein FVs possess the capability to communicate both with preceding and subsequent vehicles within the platoon. Investigation of these mappings illuminates the advantages and disadvantages of various BDCTs. Notably, we discern that within BDCTs, the receipt of information from a greater number of vehicles situated behind may at times hinder the overall performance of the platoon, resulting in larger deviations from the desired IDs or the velocity and acceleration of the leading vehicle. In contrast, information derived from vehicles located ahead, particularly the leading vehicle itself, serves to enhance IDs and therefore contributes significantly to the safety of the platoon. In conclusion, our theoretical insights are substantiated through a series of simulations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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