US Accidents dataset is available on Kaggle. It contains information about traffic accidents that occurred in the United States from February 2016 to December 2020. The dataset is in CSV format and contains 47 columns and 2845342 rows. It is a relatively large dataset. The data includes a variety of features such as the location of the accident, the severity of the accident, the weather conditions at the time of the accident, and the number of people involved.
The US Accidents dataset is a valuable resource that can be used for a wide range of analyses and applications related to road safety and accident prevention. This dataset can be used to identify high-risk areas and accident hotspots by analyzing the frequency and severity of accidents in different locations. This information can be used to improve road safety measures and infrastructure. This dataset can be used to analyze trends in accidents over time, such as the number of accidents during different seasons or the impact of road construction on accident rates. This information can be used to develop better accident prevention strategies. This dataset can be used to build machine learning models that predict the severity of accidents based on various features such as weather conditions, time of day, and location. These models can help emergency services to prioritize their response to accidents based on the predicted severity.
Below is the slide:
Below is the report:
Project Members:
- Xiaoge Zhang
- Yuchen Zhao
- Yuqing Chen
