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An Activity-based Multi-modal Mobility Scenario Generator for SUMO. This project is available in the Eclipse SUMO contributed tools section (https://github.com/eclipse/sumo/tree/master/tools/contributed) under the name SAGA (SUMO Activity GenerAtion).

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SUMOActivityGen

Activity-based Mobility Generation for SUMO Simulator

Contacts: Lara CODECA [[email protected]]

Cite: L. CODECA, J. ERDMANN, V. CAHILL, J. HAERRI, "SAGA: An Activity-based Multi-modal Mobility Scenario Generator for SUMO". SUMO User Conference 2020 - From Traffic Flow to Mobility Modeling. The presentation is available on YouTube.

This program and the accompanying materials are made available under the terms of the Eclipse Public License 2.0 which is available at http://www.eclipse.org/legal/epl-2.0.

This Source Code may also be made available under the following Secondary Licenses when the conditions for such availability set forth in the Eclipse Public License, v. 2.0 are satisfied: GNU General Public License version 3 https://www.gnu.org/licenses/gpl-3.0.txt.

Status

Weekly update against the SUMO master branch.

linux-master linux-release windows-pypi

Overview

  • The complete generation of a scenario from OSM can be done using python3 scenarioFromOSM.py --osm {osm file} --out {output directory}. All the generated files are going to be in the output directory.
  • Alternatively, it can be tested and explored using the configuration files provided by MoSTScenario and in the example directory, starting from bash most.generator.sh.

The documentation is availalbe in the docs folder.

Due to some changes in the SUMO development version of the TraCI APIs, the master branch may not compatible with SUMO 1.4.0

  • Release v0.2 is compatible with SUMO 1.4.0
  • Release v0.1 is compatible with SUMO 1.2.0

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An Activity-based Multi-modal Mobility Scenario Generator for SUMO. This project is available in the Eclipse SUMO contributed tools section (https://github.com/eclipse/sumo/tree/master/tools/contributed) under the name SAGA (SUMO Activity GenerAtion).

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  • Python 98.8%
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