- 1 Introduction to TraCI
- 2 Using TraCI
- 3 Example use
- 4 Resources
- 5 References
- 6 Performance
- 7 Troubleshooting
Introduction to TraCI
TraCI is the short term for "Traffic Control Interface". Giving access to a running road traffic simulation, it allows to retrieve values of simulated objects and to manipulate their behaviour "on-line".
TraCI uses a TCP based client/server architecture to provide access to SUMO. Thereby, SUMO acts as server that is started with additional command-line options: --remote-port <INT> where <INT> is the port SUMO will listen on for incoming connections. The number of clients which can connect can be given as an additional option --num-clients <INT>, where 1 is the default. Please note that in multi client scenarios you must explicity specify the execution order of the clients using the SetOrder-command
When started with the --remote-port <INT> option, SUMO only prepares the simulation and waits for all external applications to connect and take over the control. Please note, that the --end <TIME> option is ignored when SUMO runs as a TraCI server, SUMO runs until the client demands a simulation end.
- Control-related commands: perform a simulation step, close the connection, reload the simulation.
- Value Retrieval
- Induction Loop Value Retrieval retrieve information about induction loops
- Lane Area Detector Value Retrieval retrieve information about lane area detectors
- Multi-Entry-Exit Detectors Value Retrieval retrieve information about multi-entry/multi-exit detectors
- Traffic Lights Value Retrieval retrieve information about traffic lights
- Lane Value Retrieval retrieve information about lanes
- Vehicle Value Retrieval retrieve information about vehicles
- Person Value Retrieval retrieve information about persons
- Vehicle Type Value Retrieval retrieve information about vehicle types
- Route Value Retrieval retrieve information about routes
- PoI Value Retrieval retrieve information about points-of-interest
- Polygon Value Retrieval retrieve information about polygons
- Junction Value Retrieval retrieve information about junctions
- Edge Value Retrieval retrieve information about edges
- Simulation Value Retrieval retrieve information about the simulation
- GUI Value Retrieval retrieve information about the simulation visualization
- State Changing
- Change Lane State change a lane's state
- Change Traffic Lights State change a traffic lights' state
- Change Vehicle State change a vehicle's state
- Change Person State change a persons's state
- Change Vehicle Type State change a vehicle type's state
- Change Route State change a route's state
- Change PoI State change a point-of-interest's state (or add/remove one)
- Change Polygon State change a polygon's state (or add/remove one)
- Change Edge State change an edge's state
- Change Simulation State change the simulation
- Change GUI State change the simulation visualization
- Accessing Generic Parameters
When using TraCI, the --end option of SUMO is ignored. Instead the simulation is closed by issuing the close command. To detect whether all route files have been exhausted and all vehicles have left the simulation, one can check whether the command getMinExpectedNumber returns 0. The simulation will end as soon as all clients have sent the close command.
It is also possible to reload the simulation with a new list of arguments by using the load-command.
- There is a tutorial on using TraCI for adaptive traffic lights (using Python).
- The Tutorials/CityMobil tutorial uses TraCI for assigning new routes to vehicles (using Python).
- The Tutorials/TraCIPedCrossing tutorial uses TraCI for building a crossing with a pedestrian triggered traffic light.
Interfaces by Programming Language
- Python: the package tools/traci allows to interact with SUMO using Python (This library is tested daily and supports all TraCI commands)
- Java, .NET, ... anything that can do SOAP. TraaS is a web-service adapter for TraCI which allows automatic API generation for multiple languanges. API completeness is high but usually lags behind the python client. TraaS may also be used as a standalone TraCI client.
- Matlab TraCI4Matlab Not all TraCI commands have been implemented
- C++: The C++ TraCIAPI is client library that is part of the SUMO-source tree.
- C++: The Veins project provides a middle-ware for coupling SUMO with OMNET++. As part of the infrastructure it provides a C++ client library for the TraCI API (API completeness is a bit behind the python client).
- TraCI4J is an outdated Java implementation of TraCI; It only supports a small portion of the API. API documentation is here
- .NET: TraCI.NET is a client library with partial API coverage.
- SUMO's TraCI Server is a part of the plain distribution. The source code is located in the folder
- Axel Wegener, Michal Piorkowski, Maxim Raya, Horst Hellbrück, Stefan Fischer and Jean-Pierre Hubaux. TraCI: A Framework for Coupling Road Traffic and Network Simulators. Proceedings of the 11th Communications and Networking Simulation Symposium, April 2008. Available at ACM Digital Library
- Axel Wegener, Horst Hellbrück, Christian Wewetzer and Andreas Lübke: VANET Simulation Environment with Feedback Loop and its Application to Traffic Light Assistance. Proceedings of the 3rd IEEE Workshop on Automotive Networking and Applications, New Orleans, LA, USA, 2008. Soon available at IEEEXplore
Using TraCI slows down the simulation speed. The amount of slow-down depends on many factors:
- number of TraCI function calls per simulation step
- types of TraCI functions being called (some being more expensive than others)
- computation within the TraCI script
- client language
As an example use-case consider retrieving the x,y position of each vehicle during every simulation step (using the python client):
while traci.simulation.getMinExpectedNumber() > 0: for veh_id in traci.vehicle.getIDList(): position = traci.vehicle.getSpeed(veh_id) traci.simulationStep()
- This script is able to process about 25000 vehicles per second.
- Using embedded python increases this to about 50000 vehicles per second
- The same value retrieval can also be sped up to 50000 vehicles per second by using subscriptions:
while traci.simulation.getMinExpectedNumber() > 0: for veh_id in traci.simulation.getDepartedIDList(): traci.vehicle.subscribe(veh_id, [traci.constants.VAR_POSITION]) positions = traci.vehicle.getSubscriptionResults() traci.simulationStep()
When using this script on the Bologna scenario (9000 vehicles, 5000 simulation steps) the following running times were recorded:
- without TraCI 8s
- plain position retrieval 90s
- retrieval using subscriptions 42s
- retrieval using embedded python 46s
- retrieval using subscriptions and embedded python 34s
The C++ client performance is higher:
- plain position retrieval 80s
- retrieval using subscriptions 28s
Output files are not closed.
- This problem occures if the client tries to access the output while the simulation is still closing down. This can be solved by letting the client wait for the simulation to shut down. The bug report was ticket524
- There used to be two "generations" of TraCI commands. The first one mainly uses an internal mapping between the string-typed IDs used in SUMO and an external representation of these which is int-based. The mapping was done internally (within TraCI).
- The second "generation", the current one uses string-IDs equal to those SUMO reads. If you are bound to the first generation API (for instance if you want to use TraNS) you can only use SUMO up to version 0.12.3. See FAQ about obtaining an old version.