Short example simulation

This is a veery short stub just to show the main feature of the agent class, which is to navigate a map, in this case using routes computed using NetworkX’s shortest_path.

To create a simulation one must extend the Agent class with the behaviours under study. This example just does an empty extension.

A more interesting simulation is included in this Jupyter Notebook.

Maybe this binder will work:

from LatLon import LatLon
from road_agent import Agent
from road_agent.router import NXRouter
import osmnx as ox

G = ox.graph_from_point((19.3838,-99.1758), distance=1000)
router = NXRouter(G)
r = router.get_route(points=points, speed=3)

# extend Agent class to code behaviours specific to your mobile agent
class Bike(Agent):
    pass

point = LatLon(19.3881769, -99.1794493)
dest = LatLon(19.3858363, -99.1767216)

# create bike instance
b = Bike(point=point, dest=dest)

# create route using NetworkX
b.update_route()

# traverse agent's route, step by step
for t in range(len(b.route)):
    b.step()

Installation

Install library using pip:

$ pip install road-agent

mkdir -p ~/opt/brouter/segments4
cd ~/opt/brouter/segments4
wget https://gitlab.com/rgarcia-herrera/road-agent/raw/master/get_segments.sh
wget https://gitlab.com/rgarcia-herrera/road-agent/raw/master/segments.txt
chmod +x get_segments.sh
./get_segments.sh

cd ~/opt/brouter
wget http://brouter.de/brouter_bin/brouter_1_4_11.zip
unzip brouter_1_4_11.zip
chmod +x ./standalone/server.sh