exmas

Exact Matching of Attractive Shared rides (ExMAS) for system-wide strategic evaluations

https://github.com/rafalkucharskipk/exmas

Science Score: 36.0%

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    Found 4 DOI reference(s) in README
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    2 of 6 committers (33.3%) from academic institutions
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    Low similarity (11.3%) to scientific vocabulary
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Repository

Exact Matching of Attractive Shared rides (ExMAS) for system-wide strategic evaluations

Basic Info
  • Host: GitHub
  • Owner: RafalKucharskiPK
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 153 MB
Statistics
  • Stars: 8
  • Watchers: 1
  • Forks: 9
  • Open Issues: 1
  • Releases: 7
Created about 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

ExMAS

Exact Matching of Attractive Shared rides (ExMAS) for system-wide strategic evaluations

Scalable off-line strategic utility-based ride-pooling algorithm

Build Status Coverage Status

MAP

ExMAS allows you to match trips into attractive shared rides.

For a given: * network (osmnx graph), * demand (microscopic set of trips qi = (oi, di, ti)) * parameters (behavioural, like willingness-to-share and system like discount for shared rides)

It computes: * optimal set of shared rides (results of bipartite matching with a given objective) * shareability graph * set of all feasible rides * KPIs of sharing * trip sharing attributes

ExMAS is a python based open-source package applicable to general networks and demand patterns.

If you find this code useful in your research, please consider citing:

Kucharski R. , Cats. O 2020. Exact matching of attractive shared rides (ExMAS) for system-wide strategic evaluations, Transportation Research Part B 139 (2020) 285-310 https://doi.org/10.1016/j.trb.2020.06.006

Documentation

Installation

pip install ExMAS

clone this repository for latest version

or use one of releases for stable versions


Rafał Kucharski, TU Delft, 2020 r.m.kucharski (at) tudelft.nl

Owner

  • Name: Rafal Kucharski
  • Login: RafalKucharskiPK
  • Kind: user
  • Location: Krakow
  • Company: Jagiellonian University, Group of Machine Learning, @gmum

researcher in transport system engineering and machine learning assistant professor at @gmum Jagielloninan Uni, Krakow

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Last Year
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Last synced: over 2 years ago

All Time
  • Total Commits: 155
  • Total Committers: 6
  • Avg Commits per committer: 25.833
  • Development Distribution Score (DDS): 0.394
Past Year
  • Commits: 3
  • Committers: 2
  • Avg Commits per committer: 1.5
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
Rafal r****i@t****l 94
Rafal Kucharski r****x@g****m 46
rafalkucharskipk r****i@p****l 7
michallbujak z****l@o****m 6
Witold Wydmański w****i@g****m 1
Michał Bujak 7****k 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 8
  • Average time to close issues: N/A
  • Average time to close pull requests: about 2 hours
  • Total issue authors: 0
  • Total pull request authors: 4
  • Average comments per issue: 0
  • Average comments per pull request: 0.25
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
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  • RafalKucharskiPK (4)
  • MarkoM-5 (2)
  • Arjan-de-R (1)
  • wwydmanski (1)
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 7 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 3
  • Total maintainers: 1
pypi.org: exmas

Exact Matching of Attractive Shared rides (ExMAS) Kucharski R, Cats O TransResB, 2020 139 2020 285-310

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 7 Last month
Rankings
Dependent packages count: 7.3%
Forks count: 13.3%
Average: 19.4%
Dependent repos count: 22.1%
Downloads: 26.1%
Stargazers count: 27.9%
Maintainers (1)
Last synced: 11 months ago