Datasets:
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Lane Change Analysis — Automatum Data T-Crossing 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 ../T-Crossing--GaimersheimStadtweg_e2e6-e2e6f4bb-4668-4654-ac7e-bcd90c9df4c2
"""
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])
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