Review of Applications of ML Approaches in Driver Behavior Analysis Using Qualitative and Quantitative Analysis
Author:
Affiliation:
1. University of Calabria,Department of Civil Engineering,Rende,Italy,87036
2. Urmia University of Technology,Faculty of Industrial Engineering,Urmia,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10284032/10284045/10284202.pdf?arnumber=10284202
Reference56 articles.
1. A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers
2. A Review of the use of traffic simulation for the evaluation of traffic safety levels: can we use simulation to predict crashes?
3. Lane-Change Detection From Steering Signal Using Spectral Segmentation and Learning-Based Classification
4. Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis
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