Traffic accidents can occur from various factors, ranging from the driver themselves to problems with the vehicle. Road and traffic accidents are the most significant factor of fatalities in the world. Most of the causes of accidents are the drivers themselves. Poor physical and mental conditions can significantly impact how to drive. The driving experience is also important; the longer the driver has been driving, the more professional he will be, and vice versa. Smart City solutions can predict the severity of accidents and give information to the authorities in order to reduce the number of fatalities. This paper investigates the factors that may lead to an accident on the road. By looking at data collected from traffic-related accidents and then visualizing it to make it easy to analyze; then, from this data, we will predict the causes of traffic accidents so they can be avoided. The best algorithm based on accuracy, MAE and RMSE is Random Forest Classifier with 0.8461, 0.1663 and 0.4376, respectively.
Analyze and Predict Car Accidents Using Different Machine Learning Algorithms
2023-08-24
493644 byte
Conference paper
Electronic Resource
English
Accidents Analysis and Severity Prediction Using Machine Learning Algorithms
Springer Verlag | 2021
|Transportation Research Record | 2024
|Using Data Visualization to Analyze Grade Crossing Accidents
British Library Conference Proceedings | 2015
|Analyze and Study of Freeway Traffic Accidents
British Library Conference Proceedings | 2007
|