MC¶

class simemobilecity.mc.MC(topo)¶

This class runs the Monte Carlo simulation.

Parameters:	topo : Topology Topology object

Examples

Following example runs the MC simulation

import simemobilecity as sec

# Load topology of Munich
topo = sec.Topology({"name": "Munich, Bavaria, Germany"}, tags={})

# Create user with a probability of 0.5 to drive at any hour
user = sec.User(0.5)

# Load cafe POIs from OSM
poi = sec.Poi(topo, tags, {"amenity": ["cafe"]})

# Initialize MC object
mc = sec.MC(topo)

# Add 100 percent of the user
mc.add_user(user, 100)

# Add cafe poi
mc.add_poi(poi)

# Set number of drivers to 100 every hour
mc.set_drivers(100)

# Run MC simulation with 1 equilibration and 4 production weeks
mc.run("output/traj.obj", weeks=4, weeks_equi=1)

Methods

`_prepare`(node_p, p_norm, max_dist)	This helper function processes user and poi inputs into node list.
`add_poi`(poi)	Add POI to simulation system.
`add_user`(user, percentage)	Add User to simulation system.
`set_drivers`(drivers)	Add number of drivers.
`run`(file_out, weeks, weeks_equi[, capacity, …])	Run Monte Carlo code.
`_run_helper`(weeks, users, trials, is_equi)	Run helper for processing weeks.