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Quantile-Calibrated FCA Supervisor: Simulation and Analysis Data for "Real-Time Risk-Aware Supervisory Control for Autonomous Driving with Quantile-Calibrated Safety Envelopes"

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DataCite Commons2026-05-06 更新2026-05-07 收录
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https://zenodo.org/doi/10.5281/zenodo.20036794
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This archive contains the full simulation data, calibration artifacts, and analysis outputs accompanying the IEEE T-ITS submission: Hossain, M.B., Kamal, M.A.S., Rahman, S.S., Tayan, O., Mehedi, I.M., Showail, A. (2026). "Real-Time Risk-Aware Supervisory Control for Autonomous Driving with Quantile-Calibrated Safety Envelopes." IEEE Transactions on Intelligent Transportation Systems (under review). The hypotheses, analysis plan, exclusion criteria, and disconfirmation conditions were pre-registered on the Open Science Framework on 2026-05-01, before any Stage B evaluation data was analysed. The pre-registration is at https://osf.io/sfdj2. CONTENTS Main study: 1,800 unique CARLA episodes across three independent random seeds (1000, 2000, 3000) and two urban towns (Town03, Town05). 720 Stage A NORMAL-only calibration episodes plus 1,080 held-out Stage B paired evaluation episodes re-run under eight controllers (NORMAL, four TTC tuning grid points at theta in {2.0, 2.5, 3.0, 3.5} s, and three calibrated controllers at tau in {0.10, 0.15, 0.20}), for a total of 8,640 controller-runs. Three ZIPs: seed_1000.zip, seed_2000.zip, seed_3000.zip. Calibration artifacts: per-seed boundary B_{N,tau} and softness delta values used by the calibrated controllers, in JSON format inside each seed_*.zip under seed_*/calibrations/. Pilot data (April 2026): 999 NORMAL-only Stage A calibration episodes (which informed the Town04 exclusion criterion) and 94 paired Stage B evaluation episodes (referenced in pre-registration section 4.4 power analysis). One ZIP: pilot.zip. Analysis outputs: pre-computed per-hypothesis result CSVs corresponding to paper Tables IX-XIV, plus the master 8,640-row aggregation combined_master.csv. One ZIP: analysis_outputs.zip. Data dictionary: zenodo_README.md describes the per-episode CSV schema, identifier conventions, calibration artifact format, and reproducibility procedures. REPRODUCIBILITY The implementation and analysis code is at https://github.com/autism-researcher/quantile-fca-supervisor. Step-by-step instructions to reproduce every numerical result, table, and figure in the paper from this dataset are in zenodo_README.md. PRE-REGISTRATION COMPLIANCE This dataset is released in accordance with the open-science commitments in the pre-registration section 11. PATENT NOTICE The methods that generated this data relate to U.S. Patent and Trademark Office Application No. 19/533,330 (2026). The CC BY 4.0 license on this dataset does not grant any patent license. See PATENTS.md in the code repository for additional patent notice.
提供机构:
Zenodo
创建时间:
2026-05-05
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