UrbanEV

UrbanEV is a simulation framework for urban electromobility based on the MATSim transport simulation framework (https://github.com/matsim-org) and its electric vehicle contribution (https://github.com/matsim-org/matsim-libs/tree/master/contribs/ev).

Project Structure

Directories are structured as follows:

src for sources
scenarios for MATSim scenarios, i.e. MATSim input and output data.
- One subdirectory for each scenario:
  - scenarios/munich (examplary main scenario with different population sizes).
- Each scenario needs to comprise the following files:
  - config file
  - network file
  - population file
  - chargers file
  - electric vehicles file
- The output files will usually be created one level deeper, e.g. scenarios/munich/1000/output/....

Requirements

The following requirements are to be met to build and execute matsim-urban-ev:

maven
OpenJDK 11

sudo apt-get install openjdk-11-jdk

Dependencies

All dependencies are managed by maven. Therefore, dependencies are automatically installed during deployment.

Run from console

clone repo into directory

git clone https://github.com/TUMFTM/urbanev

make jar file to run

sudo mvn clean install

run (arg: config file path):

sudo java -Xms16g -Xmx16g -jar target/urban_ev-0.1-jar-with-dependencies.jar scenarios/munich/1000/config.xml

Contributing and Support

For contributing to the code please contact:

Lennart Adenaw
Chair of Automotive Technology
Technical University of Munich

mail: lennart.adenaw@tum.de

Versioning

V0.1

Authors

Lennart Adenaw, Julius Drosten

License

This project is licensed under the GPL License - see the LICENSE.md file for details. The project is built upon contributions by the MATSim community which are themselves licensed under the GPL License. Files that were directly adapted from such projects contain modification notices and the original license texts.

Associated Article

Please also check the associated article available in the World Electric Vehicle Journal:

Adenaw, L.; Lienkamp, M. Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility. World Electr. Veh. J. 2021, 12, 18. https://doi.org/10.3390/wevj12010018

TUMFTM/UrbanEV