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A hybrid neural network for driving behavior risk prediction based on distracted driving behavior data
- Source :
- PLoS ONE, PLoS ONE, Vol 17, Iss 1, p e0263030 (2022)
- Publication Year :
- 2021
-
Abstract
- Distracted driving behavior is one of the main factors of road accidents. Accurately predicting the risk of driving behavior is of great significance to the active safety of road transportation. The large amount of information collected by the sensors installed on the vehicle can be identified by the algorithm to obtain the distracted driving behavior data, which can be used to predict the driving behavior risk of the vehicle and the area. In this paper, a new neural network named Driving Behavior Risk Prediction Neural Network (DBRPNN) is developed for prediction based on the distracted driving behavior data. The network consists of three modules: the Feature Processing Module, the Memory Module, and the Prediction Module. In this process, attribute data (time in a day, daily driving time, and daily driving mileage) that can reflect external factors and driver statuses, are added to the network to increase the accuracy of the model. We predicted the driving behavior risk of different objects (Vehicle and Area). For the applicability improvement of the model, we further classify the distracted driving behavior categories, and DBRPNN can provide more accurate risk prediction. The results show that compared with traditional models (Classification and Regression Tree, Support Vector Machines, Recurrent Neural Network, and Long Short-Term Memory), DBRPNN has better prediction performance. The method proposed in this paper has been fully verified and may be transplanted into active safety early warning system for more accurate and flexible application.
- Subjects :
- Computer and Information Sciences
Neural Networks
Epidemiology
Science
Social Sciences
Transportation
Models, Biological
Civil Engineering
Risk-Taking
Medicine and Health Sciences
Humans
Psychology
Attention
Public and Occupational Health
Recurrent Neural Networks
Behavior
Multidisciplinary
Traumatic Injury Risk Factors
Accidents, Traffic
Traffic Safety
Biology and Life Sciences
Transportation Infrastructure
Roads
Distracted Driving
Medical Risk Factors
Road Traffic Collisions
Medicine
Engineering and Technology
Neural Networks, Computer
Safety
Research Article
Neuroscience
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 17
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....618caafcaa236c3b09bea9968c47d560