Object-oriented framework for modeling of mobile agents.
Project description
A Python framework for modeling mobile agents.
Create simulations of mobile agents, to be run on real-world maps. Like the game of tag described in the docs, some of whose frames are shown below.
- The Road Agent framework is distributed with two router alternatives:
NXRouter, wich uses shortest paths computed with the NetworkX library.
BRouter wich uses a BRouter server to query routes.
NXRouter is simpler but easier to run. BRouter is very robust but it requires the installation and running of the BRouter server which is a java program and maybe a long download, but routes are more realistic.
Read the full documentation.
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
Install optional dependency: BRouter
Agents may use BRouter for routing, which can use several different profiles for routing and is specially good creating routes for riding bikes. It is a java program, which runs in a web server. Here’s how to install a local server.
BRouters needs data files for its routing algorithm. Download data files (rd5) into segments4 dir. You may copy-paste these steps to download them all, but beware: it’s about 5.2 gigabytes:
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
Download and unzip BRouter (replace ~/opt/ with your preferred install dir and 1_4_11 with latest version):
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
Run server.sh to start BRouter server.
