bralani/icon22-23
Software di gestione degli incroci semaforici sfruttando tecnologie di intelligenza artificiale per il corso di ingegneria della conoscenza
This project helps urban planners and traffic managers analyze and optimize traffic flow at intersections. You input OpenStreetMap XML files of a city area, and it outputs insights into roads, intersections, and optimized routes. Traffic engineers and city planners can use this to make informed decisions about traffic signal synchronization and route planning.
No commits in the last 6 months.
Use this if you need to analyze traffic patterns from OpenStreetMap data and improve the efficiency of traffic signals or find optimal routes within a specific urban area.
Not ideal if you need real-time traffic management, integrate with live sensor data, or manage traffic across a very large, dynamic city network.
Stars
13
Forks
1
Language
Python
License
MIT
Category
Last pushed
Feb 14, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/bralani/icon22-23"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ikokkari/AI
Material for the course CCPS 721 Artificial Intelligence, by Ilkka Kokkarinen
BelloneLab/lisbet
LISBET Is a Social BEhavior Transformer (LISBET)
sangwook236/SWDT
Sang-Wook's Development and Testing (SWDT)
mithi/particle-filter-prototype
Particle Filter Implementations in Python and C++, with lecture notes and visualizations
sangwook236/SWL
Sang-Wook's Library (SWL)