Table 1.
An overview of the prior studies.
Fig 1.
Architecture of the proposed framework.
Table 2.
Dataset description.
Table 3.
Results of deep learning models for traffic accident severity detection.
Table 4.
Results of transfer learning models for traffic accident severity detection.
Table 5.
Class-wise results of transfer learning models for traffic accident severity detection.
Fig 2.
Assessing the impact of features on the performance of MobileNet using SHAP.
Table 6.
Result of MobileNet for traffic accident severity detection on US accidents.
Table 7.
Time complexity of transfer learning models (in seconds).
Table 8.
Findings of k-fold cross-validation.
Fig 3.
Comparison of transfer learning models.