Illegal Parking Induced Traffic Blockage Detection Dataset

#Event detection #behavior recognition #Traffic monitoring #intelligent traffic #urban management

500 records
1.3G
MP4/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-02-04

AI Analysis & Value Prop

With the increase in urban traffic flow, illegal parking incidents occur frequently, severely affecting the smoothness and safety of traffic. Existing traffic monitoring systems face limitations such as low efficiency and insufficient accuracy in recognizing and handling illegal parking issues. This dataset aims to enhance the detection capability of illegal parking incidents through high-quality video data to meet the needs of intelligent traffic management. The dataset includes illegal parking videos from different cities and time periods, ensuring diversity and broad applicability. Data collection used high-resolution cameras set up in busy traffic sections to ensure video quality. To ensure data quality, a combination of multiple annotation rounds and consistency checks was adopted, with the annotation results finally determined after expert review. The data is stored in MP4 format and organized by time and place.

Dataset Insights

Sample Examples

c196ce15**.mp4|720*1280|3.75 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
quality	string	Resolution

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the purpose of the Traffic Congestion Detection Due to Illegal Parking Dataset?: The dataset is primarily used to enhance the ability of traffic management systems to recognize and handle illegal parking behavior, thus reducing the impact of traffic congestion.

How are the videos in this dataset obtained?: The videos in the dataset may be collected through traffic surveillance cameras or other video capture devices in real traffic situations.

How can this dataset be used for video understanding research?: Researchers can use the dataset to train machine learning models to identify and analyze traffic congestion caused by illegal parking, thus improving the accuracy and robustness of the models.

What are the advantages of this dataset in the field of traffic?: The advantages of this dataset in the traffic field lie in its rich video samples, which can help develop smarter traffic management systems to effectively reduce congestion caused by illegal parking.

What challenges might be faced when using this dataset?: Challenges may include dealing with variations in video quality under different weather conditions and managing the complexity of videos caused by changes in angle or lighting.

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Cite this Work

@dataset{Mobiusi2025,
  title={Illegal Parking Induced Traffic Blockage Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/9b0f678c9ba1ab5d1dec6d1d29a4ad53?cate=4},
  urldate={2025-09-15},
  keywords={illegal parking, traffic blockage, event detection, video monitoring},
  version={1.0}
}

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