Closed alo7lika closed 1 month ago
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ADD LABELS HACKTOBERFEST AND GSSOC EXT 24 ASSIGN ME THE TASK @UTSAVS26 Thank you!
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Latest Merged PR Link
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Project Description
The Next-Gen Traffic Management System (NGTMS) is designed to enhance urban mobility by leveraging advanced machine learning techniques and real-time data integration. This project incorporates several models to address various aspects of traffic management. A dynamic traffic light control system utilizes LSTM algorithms to adjust signal timings based on real-time traffic data, minimizing delays. A convolutional neural network (CNN) classifies vehicles from captured images, providing insights into traffic composition. Additionally, a random forest classifier detects emergency vehicles, optimizing traffic signals to prioritize their movement. The system also includes a weather impact prediction model that assesses how adverse conditions affect traffic patterns and a traffic accident prediction model that identifies high-risk areas based on historical data. With an interactive dashboard, NGTMS delivers real-time insights into traffic conditions, vehicle classifications, emergency vehicle locations, and weather impacts, empowering city planners to make informed decisions quickly and enhance overall safety and efficiency in urban transportation.
Full Name
ALOLIKA BHOWMIK
Participant Role
GSSOC EXT 24 CONTRIBUTOR