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@@ -28,6 +28,8 @@ For this reason, both the simulator and the submitted autonomous driving algorit
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  ## Primary metric
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  The primary metric of this challenge is HD-Score (HUGSIM Driving Score) defined as:
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  ![hd-score](https://huggingface.co/datasets/XDimLab/competition_public_dataset/resolve/main/hd_score.png)
 
 
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  ## How to participant in the competition
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  1. Click the "Login with Huggingface" button.
 
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  ## Primary metric
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  The primary metric of this challenge is HD-Score (HUGSIM Driving Score) defined as:
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  ![hd-score](https://huggingface.co/datasets/XDimLab/competition_public_dataset/resolve/main/hd_score.png)
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+ where the driving policy items include driving with no collisions (NC) and drivable area compliance (DAC), these subscores are crucial for driving safety. The contributory items include time-to-collision (TTC) and comfort (COM), which may not directly cause failure cases when they are low. Besides, the weight for TTC is and the weight for COM is . The final HD-Score is averaged across all simulation timestamps and multiplied by the global route completion
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+ score R_c.
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  ## How to participant in the competition
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  1. Click the "Login with Huggingface" button.