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Published September 27, 2024 | Version v1
Software Open

Automated Illegal Parking Monitor for 311 Based on Publicly Available Data

  • 1. ROR icon New York University

Description

This project implements an AI-driven system to systematically analyze police response to illegal parking complaints in New York City. Using computer vision and machine learning techniques, the study leverages publicly available traffic camera feeds to detect illegal parking incidents, automatically file complaints through the NYC 311 system and monitor police responses.

Files

README.md

Files (52.2 MB)

Name Size Download all
auto_complaint_data.zip md5:5865ef4f814ccda81dc9085512bb0441
43.0 kB Preview Download
best.pt md5:240d492742c471e55d98f49b961c70a7
52.1 MB Download
cam_test.csv md5:239b58acae988a63126263bc738670ab
336 Bytes Preview Download
camera.py md5:badffff4da3ce6c0dccd41e4cdde2a50
5.7 kB Download
config.py md5:7df96315bcaa6060773bd1b74a45f807
700 Bytes Download
detector.py md5:a01643bb41c0bacca6fb20531407518c
7.7 kB Download
parking_monitor.py md5:b0018ea2e5d106421742006e16d21760
6.6 kB Download
README.md md5:10003b612e2d5a46bd7280e44befce3d
5.8 kB Preview Download
requirements.txt md5:1aadc7b576c8911ed82576f11ab2e418
115 Bytes Preview Download
service_request.py md5:4e722196e43c78f430434d249c05491e
5.7 kB Download
utils.py md5:fb92913b8263bc06aae2960063c0c20d
1.9 kB Download
vehicle.py md5:1753c34f6ea600b0dc17749b33dcfeb5
1.1 kB Download

Additional details

Related works

Is supplement to
Publication: 10.2139/ssrn.4974275 (DOI)