Tabular Traffic Flow Model Guided Path Planning with Connected Vehicles

The data of network (SUMOFiles/node.csv, SUMOFiles/link.csv, SUMOFiles/demand.csv) are obtained from DTALite/Lima_network.

Usage

Caution please: If you just want to see the performance of our model, you can skip to the section Run the model, since all the files have already been generated in this repository.

At first, we should build the network from SUMOFiles/node.csv and SUMOFiles/link.csv. The follow instructions can help finish it:

cd SUMOFiles/
python genNetFile.py   # This script will generate lima.nod.xml and lima.edge.xml
netconvert -n lima.nod.xml -e lima.edge.xml -o lima.net.xml

Then, we will get route file from SUMOFiles/demand.csv with od2trips and duarouter.

Duarouter has two main purposes: Computing fastest/optimal routes directly as well as iteratively in the context of Dynamic_User_Assignment.

cd pathPlanner/
python buildTopologyM.py   # This script can generate lima.add.xml with TAZ-zones
cd ../SUMOFiles/
python genTrips.py   # This script can generate lima.od.xml
od2trips -n lima.net.xml,lima.add.xml --od-amitran-files lima.od.xml -o lima.trips.xml
duarouter -n lima.net.xml -d lima.add.xml -t lima.trips.xml -o lima.rou.xml

Next, we can generate route file with our TTFMGPP. In fact, you can use traci.vehicle.setRoute() to change vehicles' routes when they enter the network, but traci can slow down the simulation speed of SUMO, so we suggest generate route file as a pre-process.

cd SUMOFiles/getSSD/
# The follow script can generate ../SSD.json, which is too large to upload to github, so you should generate it by yourself.
python StaticShortestDistance.py   
cd ../../pathPlanner/
python TTFMGpathPlanner.py   # This script will generate the SUMOFiles/TTFMGPP.rou.xml.

Run the model

Finally, you can compare the effects of duarouter and our TTFMGPP with sumo-gui.

sumo-gui -n lima.net.xml -r lima.rou.xml -a duarouter.add.xml --tripinfo-output duarouter.tripinfo.xml
# This instruction will generate duarouter.edgesinfo.xml and duarouter.tripinfo.xml additionally. which can help you analyze the efficiency.

sumo-gui -n lima.net.xml -r lima.rou.xml -a TTFMGPP.add.xml --tripinfo-output TTFMGPP.tripinfo.xml

If you want to see the heatmap of road occupancy, click the Edit Coloring Schemes with an icon like at the left top in sumo-gui. Then click tab Streets and change color to by current occupancy (lanewise, brutto), as the follow figure shows.