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GitHub / Tushar2952 / Vehicle-Collision-Avoidance-Technologies-Traffic-Simulation

This project develops predictive collision avoidance systems using ML and V2V/V2I communication. Featuring SUMO-based simulations, it enhances road safety, reduces congestion, and optimizes traffic flow for autonomous and traditional vehicles

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tushar2952%2FVehicle-Collision-Avoidance-Technologies-Traffic-Simulation

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 12.4 MB
Dependencies parsed at: Pending

Created at: 6 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago

Topics: autonomous-vehicles, collision-avoidance-algorithm, machine-learning, road-safety, smart-transportation, sumo, traffic-simulation, v2i-communication, v2v-communication

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