HighwayEnv is an OpenAI Gym-compatible environment focused on autonomous driving scenarios. It provides flexible simulations for testing decision-making algorithms in highway, intersection, and merging traffic situations.

Features

  • Simulates autonomous driving on highways and urban roads
  • Compatible with OpenAI Gym and RL libraries
  • Customizable traffic density and behaviors
  • Includes reward shaping for lane-keeping, safety, and efficiency
  • Supports multi-agent and adversarial scenarios
  • Visualization tools for rendering driving simulations

Project Samples

highway-env Screenshot 1

Project Activity

See All Activity >

Categories

Autonomous Driving, Reinforcement Learning Frameworks

License

MIT License

Follow highway-env

highway-env Web Site

Other Useful Business Software
$300 in Free Credit for Your Google Cloud Projects Icon
$300 in Free Credit for Your Google Cloud Projects

Build, test, and explore on Google Cloud with $300 in free credit. No hidden charges. No surprise bills.

Launch your next project with $300 in free Google Cloud credit—no hidden charges. Test, build, and deploy without risk. Use your credit across the Google Cloud platform to find what works best for your needs. After your credits are used, continue building with free monthly usage products. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of highway-env!

Additional Project Details

Programming Language

Python

Related Categories

Python Autonomous Driving Software, Python Reinforcement Learning Frameworks

Registered

2025-03-13
Report inappropriate content