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| Notation | Description |
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| The set of trajectories |
| The trajectory within , a strictly ordered sequence of instances |
| The set of vehicle signals |
| The values of the vehicle signals at time |
| An instance is a latitude and longitude position, , and the values of vehicle signals at time |
| A matrix of the real-valued signals in for the time interval from to , i.e., |
| A matrix of the categorical (nominal) signals in for the time interval from to |
| A matrix of the binary signals in for the time interval from to |
| A strictly ordered subsequence of instances in trajectory |
| The set of clusters extracted from all trajectories in |
| The cluster of trajectory , defined as a strictly ordered subsequence of instances , where is the first instance and is the last instance temporally |
| A function that returns the time of the instance |
| A function that returns the first instance in cluster |
| A function that returns the last instance in cluster |
| A function that deletes the cluster |
| A function that returns an array of training and validation clusters for a given number of folds, |
| A function that returns the ground truth classification label for |
| A function that returns the AUC |
| A function that returns the feature values in for the features that are present in feature set |
| The operator is used to denote the concatenation of two sequences |
| The set of features that can be extracted from |
| The set of possible classification labels |
| The set of positive classification labels, |
| A pretrained classifier |
| The feature set used in the classifier |
| A prediction from the classifier |
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