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S4yhan/smart-traffic-solution

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This project uses video feeds from 23 Safe City cameras around IISc, Bengaluru, to predict traffic volume and vehicle turning patterns up to 30 minutes ahead. The model forecasts vehicle counts by type across key junctions to aid in traffic management and congestion control.

active 2024-10-302024-11-17 (UTC)

Complete coverage27,172 / 27,174 hourly files (100%) · 2 absent upstream2023-08-152026-09-20 (UTC)
Events
26
Pushes
17
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 19 days from 2024-10-30 to 2024-11-17. Pushes: 17 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
rahulsags141400
Satwikmbadiger2200
S4yhan1100

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.