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44 lines
2.0 KiB
Markdown
44 lines
2.0 KiB
Markdown
# SUMO Emissions
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This "Proof of concept" aims to simulate the impact that connected vehicles and smart urban infrastructure would have on pollutant emissions.
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Using the SUMO simulator, we developed several parameters and measures using Traci to act on the road infrastructure and vehicles.
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We imagined that for a map of a given city, the city would be divided into areas,
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which when the pollution rate exceeds a certain threshold in these then we act on the infrastructure and the vehicles present in this zone.
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# Prerequisites:
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* Python >3.7 : https://www.python.org/downloads/
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* External Python librairies : shapely, parse, jsonpickle : ``` > pip install [LIBRARY_NAME] ```
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* SUMO 1.0.0 : http://sumo.dlr.de/wiki/Downloads
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# How to run
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This application can be launched from an IDE, or from a shell (linux, Windows, MacOS).
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You will need a config.json configuration file (see [default_config.json](https://github.com/Ahp06/SUMO_Emissions/wiki/Configuration-file) for a template) and a simulation file.
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You can use your own scenario file (osm.sumocfg file), see : [SUMO Tutorials](http://sumo.dlr.de/wiki/Tutorials).
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**With a Shell:**
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Create a data dump from simulation directory :
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```py ./runner.py -new_dump dump -areas 10 -simulation_dir [PATH_TO_SIMUL_DIR]```
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This command will create new dump called "dump" from the simulation directory chosen with a 10x10 grid.
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Run simulations in parallel with multiple configuration files :
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```py ./runner.py -run dump -c [PATH_TO_CONFIG1] [PATH_TO_CONFIG2] -save -csv```
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This command will run a simulation dump "dump" with the configuration file(s) "config1" and "config2"
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with CSV data export and logs backup.
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From a folder which contains multiple configuration files :
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```py ./runner.py -run dump -c_dir [PATH_TO_CONFIG_DIR] -save -csv```
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