Speed:
0 mph
Cars Passed:
0

Road Overlay:

Simulation Speed:

DeepTraffic

Main Page - Leaderboard - About DeepTraffic

Americans spend 8 billion hours stuck in traffic every year.
Deep neural networks can help!



DeepTraffic is a deep reinforcement learning competition. The goal is to create a neural network to drive a vehicle (or multiple vehicles) as fast as possible through dense highway traffic. What you see above is all you need to succeed in this competition. Here are the basic steps (more details here):

  1. Change parameters in the code box (hints here).
  2. Click "Apply Code" white button.
  3. Click "Run Training" blue button.
  4. Click "Submit Model to Competition".

In version 2.0, you can create visualizations of your best submission (Under Development):

  1. Customize your image vehicle (Load Custom Image).
  2. Customize your color scheme (drop down).
  3. Click "Request Visualization".