MoSTScenario | Monaco SUMO Traffic Scenario

by lcodeca Python Version: v0.6 License: GPL-3.0

X-Ray Key Features Code Snippets(2)Community Discussions Vulnerabilities Install Support

kandi X-RAY | MoSTScenario Summary

MoSTScenario is a Python library. MoSTScenario has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However MoSTScenario build file is not available. You can download it from GitHub.

Monaco SUMO Traffic (MoST) Scenario

Support

Quality

Security

License

Reuse

Support

MoSTScenario has a low active ecosystem.

It has 51 star(s) with 17 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 7 have been closed. On average issues are closed in 58 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MoSTScenario is v0.6

Quality

MoSTScenario has no bugs reported.

Security

MoSTScenario has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

MoSTScenario is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

MoSTScenario releases are available to install and integrate.

MoSTScenario has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed MoSTScenario and discovered the below as its top functions. This is intended to give you an instant insight into MoSTScenario implemented functionality, and help decide if they suit your requirements.

Filter out bus stops
Check if the given tag is a BUS bus
Check if the given tag is a train station
Filters out bus lines
Computes the area of the given OSM object
Calculate the area of a polygon
Update tag with key and value
Compute the centroid of a polygon
Parse an XML file
Parse command line arguments
Filter duplicate tags
Return a list of tags that are duplicates
Parse a pickle file
Processes an OSM node
Process an OSM relation
Processes an OSM way
Create an osm file
Write all the relations to file
Writes all nodes to filebuffer
Create train lines for SUMO
Write an OSM geometry file
Create bus lines for SUMO
Configure logging
Save buses and stops to files
Saves train lines to files
Dump obj to a pickle file

Get all kandi verified functions for this library.

MoSTScenario Key Features

No Key Features are available at this moment for MoSTScenario.

MoSTScenario Examples and Code Snippets

Monaco SUMO Traffic (MoST) Scenario,The master is tested with,Release v0.6

Python

Lines of Code : 64

License : Strong Copyleft (GPL-3.0)

Copy

Performance:
 Duration: 8071937ms
 Real time factor: 4.4599
 UPS: 151124.323691
Vehicles:
 Inserted: 46809 (Loaded: 46810)
 Running: 31
 Waiting: 0
Teleports: 1151 (Jam: 462, Yield: 504, Wrong Lane: 185)
Emergency Stops: 6
Persons:
 Inserted: 45000

Monaco SUMO Traffic (MoST) Scenario,The master is tested with,Eclipse SUMO Version 1.3.1

Python

Lines of Code : 32

License : Strong Copyleft (GPL-3.0)

Copy

Performance: 
 Duration: 3614643ms
 Real time factor: 9.95949
 UPS: 335528.498942
Vehicles: 
 Inserted: 46842
 Running: 31
 Waiting: 0
Teleports: 733 (Jam: 322, Yield: 286, Wrong Lane: 125)
Emergency Stops: 11
Persons: 
 Inserted: 45000
 Running: 25

Community Discussions

No Community Discussions are available at this moment for MoSTScenario.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install MoSTScenario

You can download it from GitHub.
You can use MoSTScenario like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: