Figures (8)  Tables (0)

    • Figure 1. 

      Crash cases collection and preprocessing. (a) Traffic crash detection layout, (b) spatial dispersion of accidents in 2017, (c) spatial dispersion of accidents in 2022.

    • Figure 2. 

      Structure of MAML.

    • Figure 3. 

      The mean and $ {10}^{-1} $ standard deviation of loss, accuracy, and AUC of MAML and benchmark model in single-task learning. (a) Result of the model trained on one segment data and tested using the same segment data in 2017, (b) result of the model trained on one segment data and tested on the other segment data in 2017, (c) result of the model trained on one segment data and tested on the same segment data in 2022, (d) result of the model trained on one segment data and tested on the other segment data in 2022.

    • Figure 4. 

      Detailed improvement of loss, accuracy, and AUC. (a) Result tested on data in 2017, (b) result tested on data in 2022.

    • Figure 5. 

      Mean and 10−1 standard deviation of loss, accuracy, and AUC of MAML and benchmark model in multi-task learning. (a) Result tested on data in 2017, (b) result tested on data in 2022.

    • Figure 6. 

      Geographical distribution of loss, accuracy, and AUC improvement. (a) Result tested on data in 2017, (b) result tested on data in 2022.

    • Figure 7. 

      Correlation analysis between MAML and inner models. (a) Result tested on data in 2017, (b) result tested on data in 2022.

    • Figure 8. 

      Mean and 10−1 standard deviation of loss, accuracy, and AUC of MAML and all benchmark models in multi-task learning. (a) Result tested on data in 2017, (b) result tested on data in 2022.