| """ |
| Lane Change Analysis — Automatum Data Roundabout Dataset |
| Analyzes lane change behavior across all vehicles in a recording. |
| |
| Usage: |
| python 01_lane_changes.py <path_to_recording_folder> |
| |
| Example: |
| python 01_lane_changes.py ../Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d |
| """ |
| import sys |
| import os |
| from openautomatumdronedata.dataset import droneDataset |
|
|
|
|
| def analyze_lane_changes(dataset_path): |
| print(f"Loading dataset from: {dataset_path}") |
| dataset = droneDataset(dataset_path) |
| dynWorld = dataset.dynWorld |
|
|
| print(f"Vehicles found: {len(dynWorld)}") |
|
|
| lane_change_counts = [] |
|
|
| for dynObj in dynWorld.dynamicObjects.values(): |
| lane_ids = dynObj.lane_id_vec |
| if len(lane_ids) == 0: |
| continue |
|
|
| changes = 0 |
| current_lane = lane_ids[0] |
| for lane in lane_ids[1:]: |
| if lane != current_lane: |
| changes += 1 |
| current_lane = lane |
|
|
| lane_change_counts.append({ |
| "uuid": dynObj.UUID, |
| "type": dynObj.type, |
| "changes": changes, |
| }) |
|
|
| sorted_by_changes = sorted(lane_change_counts, key=lambda x: x["changes"], reverse=True) |
|
|
| print("\n--- Top 10 vehicles with most lane changes ---") |
| for idx, item in enumerate(sorted_by_changes[:10]): |
| print(f"{idx+1}. Vehicle {item['uuid']} ({item['type']}): {item['changes']} lane changes") |
|
|
|
|
| if __name__ == "__main__": |
| if len(sys.argv) < 2: |
| print("Usage: python 01_lane_changes.py <path_to_recording_folder>") |
| else: |
| analyze_lane_changes(sys.argv[1]) |
|
|
