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tms-lstm-predictor
Kunalsinghh/tms-lstm-predictor
tms-lstm-predictor is a reinforcement learning model from Kunalsinghh. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Long Short-Term Memory networks for traffic flow prediction.
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Public
Updated Dec 24, 2025
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At a glance
- Task
- Reinforcement Learning
- License
- apache-2.0
- Access
- Public
- Created
- Dec 24, 2025
- Updated
- Dec 24, 2025
- SHA
- 76d4a5a0
Model card
From the Hugging Face model README
TMS2 - LSTM Traffic Management Models
LSTM Traffic Prediction Models
Long Short-Term Memory networks for traffic flow prediction.
Capabilities:
- Short-term traffic flow forecasting
- Congestion prediction
- Temporal pattern recognition
Input/Output:
- Input: Historical traffic sequences
- Output: Future traffic flow predictions
Model Description
These models are part of the Traffic Management System 2 (TMS2) project, an intelligent traffic control system using deep learning and reinforcement learning.
Training Details
- Framework: PyTorch
- Training Platform: Google Colab (T4 GPU)
- Training Date: December 2025
Usage
import torch
# Load model
model = torch.load('model.pt')
model.eval()
# Inference
with torch.no_grad():
output = model(input_tensor)
License
Apache 2.0
- Task
- Reinforcement Learning
- License
- apache-2.0
- Created
- Dec 24, 2025
- Updated
- Dec 24, 2025