[PRE REVIEW]: UXsim: lightweight mesoscopic traffic flow simulator in pure Python

[editorialbot]

Submitting author: @toruseo (Toru Seo)
Repository: https://github.com/toruseo/UXsim
Branch with paper.md (empty if default branch): JOSS
Version: v1.6.0
Editor: @kanishkan91
Reviewers: @fxjung, @Nitnelav
Managing EiC: Chris Vernon

Status

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Markdown: [![status](https://joss.theoj.org/papers/d6d109398597b438cb9b12a9f744346c/status.svg)](https://joss.theoj.org/papers/d6d109398597b438cb9b12a9f744346c)

Author instructions

Thanks for submitting your paper to JOSS @toruseo. Currently, there isn't a JOSS editor assigned to your paper.

@toruseo if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

Editor instructions

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[editorialbot]

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.01 s (531.9 files/s, 59308.8 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Markdown                         2             49              0            178
TeX                              1             21              0            174
YAML                             1              1              4             19
-------------------------------------------------------------------------------
SUM:                             4             71              4            371
-------------------------------------------------------------------------------

Commit count by author:

   266	Toru Seo
    12	Ewout ter Hoeven
     1	dependabot[bot]

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1795

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🔴 Failed to discover a valid open source license

[editorialbot]

⚠️ An error happened when generating the pdf.

[crvernon]

👋 @toruseo - Could you please provide a branch that has both the code of your repo and the paper components needed for JOSS within the same branch? This will help our editorialbot to find what it needs.

[toruseo]

@crvernon Sorry for my misunderstanding. Now branch JOSS has both of the paper and software code.

[Nitnelav]

Hi ! I'd be happy to volunteer as a reviewer if needed. I'm not a traffic engineer but I am using multi-agent mesoscopic traffic models in my work. It would be my first review here so i'll try to strictly follow the guidelines.

[crvernon]

@editorialbot generate pdf

[editorialbot]

⚠️ An error happened when generating the pdf.

[crvernon]

Hi @Nitnelav, I'll keep that in mind when I get an editor assigned to this submission. How did you hear about this review by the way?

[crvernon]

@openjournals/dev can you help out the the PDF generation action failure above? Thanks!

[Nitnelav]

Hi @Nitnelav, I'll keep that in mind when I get an editor assigned to this submission. How did you hear about this review by the way?

Cool, thanks !

I had an eye on the joss-reviews issues for some time, looking for one I could volunteer to review. I was hipped about JOSS at an "open source in acoustics" workshop and I found the open submission and reviewing process on github very interesting. Then we (the UMRAE team) decided to submit our NoiseModelling software to JOSS (work is in progress). And so I thought I'd participate to the reviewing process to see how it goes !

[xuanxu]

The error in the PDF generation comes from this date in the paper's metadata not following the expected syntax .

[toruseo]

@editorialbot generate pdf

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[toruseo]

It is fixed now. Thanks

[editorialbot]

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[crvernon]

@editorialbot invite @kanishkan91 as editor

👋 @kanishkan91 - can you edit this one? Thanks!

[editorialbot]

Invitation to edit this submission sent!

[kanishkan91]

@crvernon Yup, I can take this one

[crvernon]

@editorialbot assign @kanishkan91 as editor

[editorialbot]

Assigned! @kanishkan91 is now the editor

[toruseo]

@kanishkan91 Thank you very much for handling my paper.

Do I need to do something to advance the review process? Or should I just wait? Sorry for interrupting you. I understand that the editorial process take some time, but I am not familiar with this submission system.

[kanishkan91]

@toruseo I don't think anything is required from your side. Though if you had potential reviewers in mind (without a conflict of interest) feel free to post their GitHub IDs here. I plan on getting this review started within the next week.

[toruseo]

Thank you.

Regarding potential reviewers, Nitnelav kindly volunteered as a reviewer (pls see #7332 (comment) for his motivation).
The authors of the related papers and the paper cited by my manuscript would be also great.

[toruseo]

@kanishkan91 Could you please tell me the expected timeline for this pre-review?

[kanishkan91]

@toruseo Sorry, I've been a bit overloaded with editing assignments. I just got done with a JOSS paper a couple days ago. I will turn my attention to this one right away.

[kanishkan91]

@Nitnelav would you be interested in reviewing this paper and package for JOSS?

[kanishkan91]

@maximelenormand, based on your previous paper, reviews, would you be interested in reviewing this paper for JOSS? Note that this in python rather than R

[kanishkan91]

@fxjung would you be interested in reviewing this paper for JOSS? It seems like a good fit given previous papers youve authored

[maximelenormand]

I am currently on holiday for the next three weeks. Reviewing this package in January would be complicated for me.

…

-- Maxime Lenormand Research Associate at INRAE (TETIS) Homepage: www.maximelenormand.com Email: ***@***.*** Phone: +33 467 548 754

________________________________________ De : Kanishka Narayan ***@***.***> Envoyé : mercredi 25 décembre 2024 01:31 À : openjournals/joss-reviews Cc : Maxime Lenormand; Mention Objet : Re: [openjournals/joss-reviews] [PRE REVIEW]: UXsim: lightweight mesoscopic traffic flow simulator in pure Python (Issue #7332) @maximelenormand<https://github.com/maximelenormand>, based on your previous paper, reviews, would you be interested in reviewing this paper for JOSS? Note that this in python rather than R — Reply to this email directly, view it on GitHub<#7332 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AC36MYTL3UMRA74RUPFITXT2HH4FHAVCNFSM6AAAAABPSVK3BOVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDKNRRGUYDQMJXHA>. You are receiving this because you were mentioned.Message ID: ***@***.***>

[Nitnelav]

@Nitnelav would you be interested in reviewing this paper and package for JOSS?

Yes, I'm in. I will find some time in january.

[fxjung]

@fxjung would you be interested in reviewing this paper for JOSS? It seems like a good fit given previous papers youve authored

Sure, I'll also find some time in January.

[kanishkan91]

@editorialbot assign @fxjung as reviewer

[editorialbot]

I'm sorry human, I don't understand that. You can see what commands I support by typing:

@editorialbot commands

[kanishkan91]

@editorialbot add @fxjung as reviewer

[editorialbot]

@fxjung added to the reviewers list!

[kanishkan91]

@editorialbot add @Nitnelav as reviewer

[editorialbot]

@Nitnelav added to the reviewers list!

[kanishkan91]

@Nitnelav , @fxjung - Thanks so much! I'l get the review started on another thread shortly

[kanishkan91]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #7617.