User evaluation of Pothole Detector project for Pervasive Systems 2018 course.

1. We interviewed a number of people
pothole detector

2. How?

3. User
Italy, Rome
Waze app user
She would like to contribute Waze and Waze-
like communities. She is willing to share the
collected data to be open and integrable.

4. Solution
Open data (API)?

5. User
Italy, Rome
Computer Engineering Student
Personal car owners tend to avoid
from potholes due to damage they
may cause. In this case how accurate
the mapping would be?

6. Solution
more data, the better accuracy

7. User
USA, Minneapolis
UI/UX Designer
In 2007, unmaintained bridge (I-35W
Mississippi River bridge) collapsed, killing 13
and many other injured people. How can this
device help with the unnoticed problem that
may lead bigger problems?

8. Solution
The better integration with
other disaster-prevention
systems

9. User
Spain, Málaga
Biomedical Engineer
There are some streets like Rome with
cobblestones, manhole cover and
speed ​​reduction bumps that can disturb and
heavily modify the heat map automatically
generated.

10. Solution
More information to extract
and analyze (Big Data)

11. User
Italy, Milan
Student abroad
Pros: Aside from detecting potholes, streets can be
studied so different materials can be better suitable in
places than others.
Cons: Government and city council won't care about a
street until it gets really damaged, they won't fix them
every time because it increases the costs.

12. Solution
Our mission is providing data
about street conditions to
make cities better.

13. User
Spain, Madrid
Electronic System Engineer
As a technical feedback, you should use derivate filters
as a method to obtain a more accurate values.
It could be compared to real data measurements in
order to analyze if the method works well.
GALILEO platform would be better because its accuracy.

14. Solution
We should work with official
entities in order to validate
our system with measured
data.