Research Article
The Driver Time Memory Car-Following Model Simulating in Apollo Platform with GRU and Real Road Traffic Data
| | Field | Description |
| | Vehicle_ID | Vehicle identification number (increase by entry time) | | Frame_ID | Frame identification number (increase by start time) | | Total_Frames | The total number of frames in the dataset of vehicles | | Global_Time | Time elapsed since 1970.1.1 (unit: ms) | | Local_X | X-value in study regional coordinate system | | Local_Y | Y-value in study regional coordinate system | | Global_X | X-value in standard geographic coordinate system | | Global_Y | Y-value in standard geographic coordinate system | | v_length | Vehicle length (unit: feet) | | v_Width | Vehicle width (unit: feet) | | v_Class | Vehicle type (1: motorcycle, 2: compact vehicle, 3: large vehicle) | | v_Vel | Instantaneous vehicle speed (unit: feet/s) | | v_Acc | Instantaneous vehicle acceleration (unit: feet/s2) | | Lane_ID | Number of the current lane of the vehicle | | Preceding | Vehicle identification number of leading vehicle | | Following | Vehicle identification number of following vehicle | | Space_Headway | Head spacing (unit: feet) | | Time_Headway | Headway time distance (unit: s) |
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The acquisition interval is 0.1 s; 1 ft = 0.3048 m.
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