Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Configure an example with bad human driving --> better robot driving #38

Open
cathywu opened this issue Sep 14, 2016 · 5 comments
Open
Assignees
Milestone

Comments

@cathywu
Copy link
Collaborator

cathywu commented Sep 14, 2016

In the other plots, we have separate examples from separate simulations or a single simulation that shows poor robot driving --> somewhat improved robot driving. The goal here is to demonstrate a more dramatic improvement.

@cathywu cathywu added this to the ICRA milestone Sep 14, 2016
@cathywu cathywu self-assigned this Sep 14, 2016
@cathywu
Copy link
Collaborator Author

cathywu commented Sep 14, 2016

Preliminary example with ACC and 85 vehicles. The tau is reduced from 3 to 0.5 at the midway point.
loopsim-1000m2l-robot085-acc

Whereas if tau=0.5 for the entire simulation, then it looks like:
loopsim-1000m2l-robot085-acc

So this is a good start, but why can't the robot vehicles improve the first scenario up to the level of the second?

@cathywu
Copy link
Collaborator Author

cathywu commented Sep 15, 2016

Perhaps with a larger reaction time (tau), the capacity of the loop is just lower. With 55 agents instead, we see:

loopsim-1000m2l-robot055-acc

So what's the largest number of vehicles such that the humans can achieve 25m/s?
Looks like 20 vehicles.
loopsim-1000m2l-human020-acc
loopsim-1000m2l-human025-hybrid

@cathywu
Copy link
Collaborator Author

cathywu commented Sep 15, 2016

A full switch from human (no controller, just default behaviors) to ACC halfway:
loopsim-1000m2l-hybrid030-hybrid

@cathywu
Copy link
Collaborator Author

cathywu commented Sep 15, 2016

With humans with random lane changes (randomChangeLaneFn):
loopsim-1000m2l-hybrid030-hybrid

@cathywu cathywu mentioned this issue Sep 15, 2016
@cathywu
Copy link
Collaborator Author

cathywu commented Sep 15, 2016

Sweep of varying proportions of humans + changeFasterLaneBuilder vs robot + ACC:
https://www.dropbox.com/sh/ikc4skzpifhqxtx/AADZfROr-xRViTbW-6TC9Yrda?dl=0

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant