pattern-optimized-routes 0.1.5

Package to simulate the MultilevelERU (Expected Road Usage) model and the literature baselines results on a road network with a traffic demand.

This framework was developed throughout the research for my master’s degree. It consists of an alternative routing strategy based on the road usage pattern. I called it Multilevel Expected Road Usage, it is designed to increase path diversity and reduce CO2 emissions in urban scenarios. The package includes a way to test, simulate, and reproduce results on a real traffic demand.

Getting started

The library makes extensive use of SUMO and another library I collaborated to develop (routing_lib).

Pypi

To install the framework you can just open a terminal with pip installed and then digit:

pip install pattern-optimized-routes

Import the library

On Python, you can import the library by digiting:

import meru

There are 5 modules available:

• multilevel.py contains the code of the algorithm and the utilities to make it work

• baselines.py contains a class to run other algorithms from routing_lib

• simulate.py contains a few functions to start a SUMO simulation

• extract_measures.py allows the extraction of a set of useful quantitative and qualitative measures out of the raw paths

• testing.py contains the function to run the simulation with customizable settings (the default parameters are those of my research)