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SUMO software features
Open source and free:
SUMO is an open source software that users can freely download, modify and distribute, which makes SUMO more popular in academia and small and medium-sized projects. The open source feature also allows developers around the world to continuously add new features to SUMO, forming an active user community.
Highly flexible and scalable:
SUMO is favored by academics and developers for its high flexibility and good scalability, especially in research and experimental projects. Many researchers and developers will use its open code for secondary development, and even conduct linkage simulations with other transportation vehicles (such as autonomous vehicles, intelligent transportation systems, etc.).
Multimodal traffic support:
SUMO supports various modes of transportation, including cars, buses, bicycles, and pedestrians, and can simulate integrated intermodal transportation systems.
Real-time traffic data integration:
SUMO can integrate real-time traffic data to adjust and optimize simulations, improving the accuracy and practicality of simulations.
Tool integration and interface support:
SUMO provides interfaces with other software such as MATLAB, Python, etc. to facilitate data analysis and processing. At the same time, it also supports docking with traffic signal control systems, GIS databases, etc., to achieve a more dynamic and interactive simulation system.
SUMO software features
Road network modeling:
SUMO allows users to build and modify road networks based on real road conditions and traffic light (TLS) information, thereby obtaining a detailed road network model. Users can use SUMO's own network generation tool "netedit.exe" to draw the road network, import data from OpenStreetMap, or manually write XML files to define information such as nodes, edges, and lanes.
Vehicle and pedestrian simulation:
In SUMO, users can conduct simulation experiments on vehicles and pedestrians. Through Python scripts, users can generate .rou files for customized traffic flows and interact with the simulation using traci (SUMO's Python interface). Users can obtain simulation data, such as vehicle trajectories, traffic flow, etc., and control vehicle behavior, signal control schemes and specific data according to needs.
Data output and analysis:
SUMO provides a variety of data output formats, such as XML, CSV, etc., to facilitate users' data processing and analysis. Users can use Python or other programming languages to process these data to obtain traffic simulation results.
Simulation configuration and operation:
SUMO simulation operation requires a simulation configuration file, which is an XML format file with the suffix ".sumocfg" and can be opened through sumo-gui. In the simulation configuration file, you need to set the simulation input and simulation output, and configure related options. Users can use sumo-gui to double-click the simulation configuration file to run the simulation.
FAQ
Python script cannot establish connection to TraCI server:
Make sure the SUMO service is running: Before running the Python script, manually start the SUMO GUI or SUMO command line version and make sure it is in a waiting state.
Confirm that the port number is consistent: Confirm that the port number specified in the Python code is consistent with the port number used when SUMO is started.
Python library installation: Make sure the traci library is installed.
SUMo update log:
Sweep the bug out and carry it out to the end
Optimize user feedback issues and improve detailed experience
Huajun editor recommends:
SUMo has always been a commonly used tool for most netizens. Its dominant position in the minds of netizens can be seen. It is strongly recommended that users download SUMo and use it. Come to Huajun Software Park to download it. In addition, there are91 Assistant,Certificate Manager,Duobaoshi multimedia visual training system,PDFdo TXT To PDF,Reading and Writing GuestAvailable for download.
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