A Vision-Based Analysis of Congestion Pricing in New York City
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866912871616610304 |
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| author | Turkcan, Mehmet Kerem Tavori, Jhonatan Ghaderi, Javad Zussman, Gil Kostic, Zoran Smyth, Andrew |
| author_facet | Turkcan, Mehmet Kerem Tavori, Jhonatan Ghaderi, Javad Zussman, Gil Kostic, Zoran Smyth, Andrew |
| contents | We examine the impact of New York City's congestion pricing program through automated analysis of traffic camera data. Our computer vision pipeline processes footage from over 900 cameras distributed throughout Manhattan and New York, comparing traffic patterns from November 2024 through the program's implementation in January 2025 until January 2026. We establish baseline traffic patterns and identify systematic changes in vehicle density across the monitored region. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_03015 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Vision-Based Analysis of Congestion Pricing in New York City Turkcan, Mehmet Kerem Tavori, Jhonatan Ghaderi, Javad Zussman, Gil Kostic, Zoran Smyth, Andrew Computer Vision and Pattern Recognition We examine the impact of New York City's congestion pricing program through automated analysis of traffic camera data. Our computer vision pipeline processes footage from over 900 cameras distributed throughout Manhattan and New York, comparing traffic patterns from November 2024 through the program's implementation in January 2025 until January 2026. We establish baseline traffic patterns and identify systematic changes in vehicle density across the monitored region. |
| title | A Vision-Based Analysis of Congestion Pricing in New York City |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2602.03015 |