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road-traffic-analysis

Analyzes, forecasts, and detects anomalies in road traffic using Python libraries.

Updated Jun 2, 2026
Search Tags:#data analysis#traffic forecasting#anomaly detection#traffic analysis#road traffic
One-click install
npx skills add https://github.com/bettercallfan/deerflow --skill road-traffic-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: road-traffic-analysis
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/custom/road-traffic-analysis
Command: npx skills add https://github.com/bettercallfan/deerflow --skill road-traffic-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, adtk, statsforecast, baidu-aip, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides comprehensive road traffic analysis capabilities, including real-time data retrieval, traffic forecasting, anomaly detection, and in-depth knowledge retrieval from a specific annual traffic report.

Core Features & Use Cases

  • Real-time Traffic Analysis: Retrieve current traffic conditions, including routes, weather, geocoding, and nearby traffic.
  • Traffic Forecasting: Predict future traffic flow based on historical data.
  • Anomaly Detection: Identify and analyze unusual traffic patterns or events.
  • RAG Retrieval: Retrieve specific facts and context from a 2024 Xi'an traffic annual report.
  • Use Case: A city planner may use this Skill to predict traffic congestion before an event and analyze historical trends to improve infrastructure planning.

Quick Start

Use the road-traffic-analysis skill to predict traffic flow for the next 24 hours using the data in 'traffic.csv'.

Frequently Asked Questions about road-traffic-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I forecast road traffic flow using historical CSV data?▼

Detect traffic anomalies by applying the adtk library to your time-series data. The system identifies unusual traffic patterns or events by comparing real-time data against established historical baselines.

Can I retrieve real-time traffic conditions and geocoding data?▼

Retrieve real-time road traffic conditions including routes, weather, geocoding, and nearby traffic using the Baidu API. You must provide a valid Baidu API key to access current traffic data and location features.

Does this traffic analysis tool require a Baidu API key?▼

Yes, real-time traffic analysis requires a Baidu API key. While historical forecasting and anomaly detection use pandas, adtk, and statsforecast, accessing current routes, weather, and geocoding demands Baidu API authentication.

What is the best way to analyze historical traffic trends for infrastructure planning?▼

Yes, you can retrieve specific facts and context from a 2024 Xi'an traffic annual report using RAG retrieval. This feature allows you to extract tailored knowledge to support traffic monitoring and event planning decisions.

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