Meta-feature-based traffic accident risk prediction: a novel approach to forecasting severity and incidence
This study aims to improve the accuracy of predicting the severity of traffic accidents by developing an innovative traffic accident risk prediction model—StackTrafficRiskPrediction. The model combines multidimensional data analysis including environmental factors, human factors, roadway characteris...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2024
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Online Access: | http://psasir.upm.edu.my/id/eprint/113529/1/113529.pdf http://psasir.upm.edu.my/id/eprint/113529/ https://www.mdpi.com/2624-8921/6/2/34 |
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Institution: | Universiti Putra Malaysia |
Language: | English |