smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter
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Updated
Feb 1, 2021 - Python
smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter
Python package to process NGSIM data and traffic sensing with autonomous vehicles
Using the Backpropagation Neural Network to predict traffic congestion data collected on the US-101 highway by the Next Generation Simulation in the USA.
Physics-injected Graph Attention Networks for trajectory prediction in heterogeneous Indian urban traffic. M.Tech thesis, IIT Guwahati.
CLEAR: Clean, Leakage-free Evaluation And Reporting for highway vehicle-trajectory prediction — anchors models against CV/CA/IDM baselines and emits a standardized Eval Card.
Lane change intent prediction using NGSIM dataset with ML techniques
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