Mobiusi/Traffic-Congestion-Dataset-in-Adverse-Weather

Traffic Congestion Dataset in Adverse Weather

The current traffic industry faces challenges including the impact of weather changes on traffic flow. Under adverse weather conditions, traffic congestion becomes more pronounced. Existing traffic management systems often lack specific data support for traffic conditions under different weather scenarios, leading to less precise decision-making. This dataset aims to provide a rich collection of traffic congestion images in adverse weather, assisting researchers and developers in enhancing the intelligence level of traffic management. Data collection is carried out using high-resolution cameras at major city junctions around the clock, ensuring coverage of various weather conditions. Quality control involves multiple rounds of annotation and expert review mechanisms to ensure consistency and accuracy of annotations. The data storage format is JPEG, organized by folder classification, with each folder corresponding to a weather condition.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
weather_condition	string	Indicates the weather condition at the time the picture was taken, such as rainy, snowy, foggy, etc.
traffic_density	integer	Indicates the level of traffic density in the image, commonly represented by numbers.
number_of_vehicles	integer	Indicates the total number of vehicles appearing in the image.
vehicle_types	string	Represents different types of vehicles appearing in the image, such as cars, trucks, buses, etc.
road_condition	string	Indicates the road condition in the image, such as slippery, icy, or flooded.
visibility_level	integer	Indicates the level of visibility in the image, commonly represented by numbers.
time_of_day	string	Indicates the time of day when the picture was taken, such as morning, noon, evening, etc.
emergency_vehicles_present	boolean	Indicates whether there are emergency vehicles present in the image, such as police cars, ambulances, etc.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com