Nainikas/Traffic-Aware-ETA-Prediction-Using-Temporal-Deep-Learning

1import pandas as pd2 3# Load preprocessed dataset4df = pd.read_csv("data/lstm_dataset.csv")5 6# Assuming sensor IDs are in column names like: sensor_0, sensor_1, ..., sensor_117# We'll simulate 3 sensors by slicing rows8 9sensor_speed_map = {10    "400001": df.iloc[0, :-1].tolist(),  # first row as sensor A11    "400017": df.iloc[1, :-1].tolist(),  # second row as sensor B12    "400030": df.iloc[2, :-1].tolist(),  # third row as sensor C13}14