Research Article

Vehicle Trajectory Prediction by Knowledge-Driven LSTM Network in Urban Environments

Table 2

RMSE comparison of the proposed method with the baseline models and state-of-the-art model.

Prediction horizon (s)M-LSTM [20]CS-LSTM [22]NLS-LSTM [35]ST-LSTM [23]DLM [24]Proposed method

10.580.610.560.580.410.41
21.261.271.221.210.950.89
32.122.092.021.971.721.64
43.243.103.032.852.642.47
54.664.374.303.893.873.68