Comments (3)
Current considerations:
We use a 20x40 grid for the simulation. Let us suppose, that this corresponts to a 2 km x 4 km grid in real space.
Then 1 distance unit (du) corresponds to 100 m.
Our cars move 1 du in 1 time unit (tu). If we suppose that their average velocity while moving is 36 km/h (that is quite optimistic), i.e. 10 m/s, then 1 tu = 10 s, and
The average free path between taxis is
where
Now let us consider the request to taxi ratio, or reciprocal system capacity. If
In our current geometry, where there is one base at the center, and base_sigma
is 5,
This means that if we change
from taxi.
Conversion specification is now given in generate_configs.py
. Changing
from taxi.
I think that the parameter issue is done for now, we have more than enough of them.
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Related Issues (18)
- Jegyzetek HOT 1
- Matching algorithms HOT 3
- Error list
- Minimize std of total money earned HOT 1
- Assign monetary value to idling and crusing HOT 3
- Summarize system stabilization over time in one plot HOT 1
- Think about the passengers! HOT 1
- Fit distributions to real-world values
- Speeding up the simulation HOT 2
- Some higher-level questions
- Bugs, mistakes, to develop HOT 3
- The role of initial conditions [HUN] HOT 3
- Poor drivers HOT 2
- Journal
- TODO list HOT 4
- Data
- About the taxi project HOT 3
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