praveenmunagapati / charge

Experimental OSM based route planner for electric vehicles with realistic consumption model aimed at research

Charge

Charge is a route planner for electric vehicles that uses a realistic consumption model based on driving speed and slope, and a realistic charging model to compute time optimal routes. Charge uses C++17 and depends on libosmium for parsing OSM data in .osm.pbf format. To easily compute and display routes Charge includes a HTTP server based on web++.hpp. The web frontend is based on React and Mapbox GL JS.

Build

You will need GCC 7 and above to compile charge:

mkdir build
cd build
cmake ..
make

Data

Charging stations

We accept charging stations as GeoJSON file with feasures of the following format:

{
    "type": "Feature",
    "properties": {
        "rate": 120000.0
    },
    "geometry": {
        "type": "Point",
        "coordinates": [10.040342, 47.880344]
    }
}

Where rate needs to be the charging rate in watt. We provide a script scripts/download_tesla.py that can be used to download Tesla charging station data from their website.

Elevation data

You can use ./scripts/srtm_download.py to download SRTM elevation data tiles from OpenTopo and place them in data/srtm.

mkdir -p data/srtm
# Download SRTM tiles for switzerland
./scripts/srtm_download.py 5,45,11,48 ./data/srtm

Run

Make sure you placed your dataset in data/graphs/${DATASET}.osm.pbf and the SRTM tiles in data/srtm. Prepare data and start the server using:

DATASET=${DATASET} make run

For example to setup OSM switzerland from Geofabrik do:

mkdir -p data/graphs
wget http://download.geofabrik.de/europe/switzerland-latest.osm.pbf -O data/graphs/switzerland.osm.pbf
mkdir -p data/srtm
./scripts/srtm_download.py 5,45,11,48 ./data/srtm
CAPACITY=32000 DATASET=switzerland make run

Frontend

To start the frontend you will need to have npm installed:

cd frontend
npm install
npm run start

API Documentation

See the full HTTP API dpcumentation.