Search Results for "traffic simulation"

DeepTraffic is a deep reinforcement learning simulation designed to teach and evaluate autonomous driving algorithms in a dense highway environment. The system presents a simulated multi-lane highway where an AI-controlled vehicle must navigate traffic while maximizing speed and avoiding collisions. Participants design neural network policies that determine the vehicle’s actions, such as accelerating, decelerating, changing lanes, or maintaining speed.

An open source implementation of the Distributed Interactive Simulation (IEEE-1278) standard in C++, C-Sharp, Objective-C, Java, Javascript and XML. Example applications including sending and receiving native DIS traffic, X-Plane plugin, and WebSocket/Javascript/WebGL applications. See the individual code directories for each package of interest. This project is inactive and has migrated to a GitHub project at https://github.com/open-dis