[AI Tool Function Request]: local_traffic_prediction

[yhbcode000]

Description:
We need to implement the AI tool function local_traffic_prediction to locally predict traffic patterns and congestion using historical and real-time traffic data stored within the system.

JSON Definition:

{
    "type": "function",
    "function": {
        "name": "local_traffic_prediction",
        "description": "Predicts traffic patterns and potential congestion using locally stored historical and real-time traffic data.",
        "parameters": {
            "type": "object",
            "properties": {
                "prediction_window": {
                    "type": "integer",
                    "description": "The time window (in minutes or hours) for which the model should predict future traffic conditions."
                },
                "update_interval": {
                    "type": "integer",
                    "description": "The interval at which real-time data should update predictions."
                },
                "region": {
                    "type": "string",
                    "description": "The region or area within the city for which traffic predictions should be made."
                }
            },
            "required": [
                "prediction_window",
                "update_interval",
                "region"
            ]
        }
    }
}

Implementation Notes:

• The function should operate on locally stored data for both historical and real-time traffic information.
• The AI model will use preprocessed historical data to predict traffic patterns and potential congestion, generating results for the specified prediction window (e.g., 15 minutes, 1 hour).
• The function should also dynamically adjust predictions based on real-time data, updating at the specified update interval.
• Model integration with locally stored data must ensure that no external API calls or data inputs are required, and all data processing happens within the local environment.
• The model needs to be optimized for large-scale, city-wide traffic predictions, ensuring low latency and scalability.
• Ensure efficient use of machine learning frameworks like TensorFlow or PyTorch, optimizing for local hardware and available resources.

[yhbcode000]

We need this tool but may use google api for traffic status in specific time.