Dynamic Path Flow Estimation Using Automatic Vehicle Identification and Probe Vehicle Trajectory Data: A 3D Convolutional Neural Network Model

<div>Train losses, sample loss distributions, and label replacing ratios in Part 1 and Part 2. (a, e) Part 1, (b, f) Part 2, (c) No. 250 epoch of Part 1, and (d) No. 250 epoch of Part 2.</div>

Journal of Advanced Transportation

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Figure 9

Figure 9: Dynamic Path Flow Estimation Using Automatic Vehicle Identification and Probe Vehicle Trajectory Data: A 3D Convolutional Neural Network Model 

Figure 9 | Dynamic Path Flow Estimation Using Automatic Vehicle Identification and Probe Vehicle Trajectory Data: A 3D Convolutional Neural Network Model 