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tanuluthra4/Smartflow-AI

AI-powered junction optimization system for adaptive traffic control, emergency vehicle prioritization, congestion prediction, and intelligent traffic flow management.

⚡ AI使用 HTML GitHub ↗
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55
AI関連スコア
40
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SUMMARY AI要約 by gpt-5-mini

SmartFlow AI is an open-source system for optimizing traffic junctions: it replaces fixed-cycle signals with an adaptive, four-factor scoring engine that allocates green time dynamically, predicts emerging congestion, and can clear corridors for emergency vehicles. Intended for traffic engineers, city planners, researchers, and developers building traffic-control prototypes or simulations, it runs a live dashboard and APIs for real-time control and logging. Key features: per-lane scoring using current density, predicted inflow, historical trend and fairness pressure; proportional green durations (10–60s) and starvation prevention; Gaussian peak-hour traffic simulation; hotspot pre-alerts for imminent surges; emergency 60s green corridor with minimum cycles for others; live charts, activity feed, and SQLite cycle logging. Built with Flask/Python backend, vanilla JS/Chart.js frontend, and simple REST endpoints for integration.

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💾 一般データベース (1)
SQLite
🌐 Web/アプリフレームワーク (1)
Flask

GitHub Topics

#artificial-intelligence #dashboard #flask #hackathon #python #smart-city #smart-traffic #traffic-management

使用言語(バイト数比)

CSS
14.2%
HTML
25.1%
Python
31.4%
JavaScript
29.3%

オーナー情報

アカウント
tanuluthra4
タイプ
User
フォロワー
0

B.Tech CSE | Python | DSA-focused | Building strong fundamentals

日付

GitHub作成日 2026-05-09
最終Push 2026-05-09
当サイト初検出 2026-05-09
最終取得 2026-05-09 16:10

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