jpeg-decoder VS abstreet

… but that's a problem surprisingly limited to C or 'find symbols by name'-land. Inside a Rust executable, there is no problem applying multiversion or manual alternatives to relevant methods that are actually in the hotpath, and thus executing them with a recent instruction set while being compatible at the same time. That's infinitely harder if you can't simply compile the function multiple times because it would lead to (undetected, dynamic) linker conflicts en-masse.

Given your qualifications, optimizing the Huffman decoding in jpeg-decoder crate sounds like a good opportunity. 50% of the entire decoding time is spent there; any improvements in it would translate to significant performance gains for decoding JPEG images. The tracking issue is here: https://github.com/image-rs/jpeg-decoder/issues/155

Thanks. Issue filed [here under jpeg-decoder module](https://github.com/image-rs/jpeg-decoder/issues/185)

Super awesome! I like how you just color roads to show time. When you calculate polygons to try and cover the whole area in some 5-10 minute bucket, you can wind up with all sorts of odd holes far away from roads. Keep it simple.

https://github.com/a-b-street/abstreet/pull/1075

A|B Street does some of that, but it is not a game: https://github.com/a-b-street/abstreet

You can build it out in a cool simulator and show it off.

The tool you want exists, but you'll need to actually build the city in it. It's really an incredible program!

Active Travel England | Software Developers and Data Engineer | Full or Part Time | https://www.gov.uk/government/organisations/active-travel-en...

Active Travel England will be developing tools to support evidence-based investment and policies to support sustainable transport. We're hiring 3 roles at present (there will be more jobs in January): https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SI...

We are already working with the transport simulation and scenario development tool A/B Street and the Low Traffic Neighbourhood design tool: https://a-b-street.github.io/docs/ and plan to create new web applications to transform active travel infrastructure design, monitoring and evaluation.

An exciting thing about these jobs from a software engineering perspective is that you will be starting with a relatively blank slate. In the UK we already have tools like https://bikedata.cyclestreets.net and https://www.pct.bike/ but need to go further than this. Long term, the 7 strong Data and Digital team that you will be part of will develop a comprehensive map based design support tool to provide data of the type in BikeData (and more datasets), drawing tools, and automated assessment of proposed interventions.

These opportunities will enable you to shape the future of tools for active travel investment and policy in England and, because the software develop as part of these roles will be open source, beyond.

These high profile jobs will have a large impact, see here for context: https://twitter.com/Chris_Boardman/status/159648662743800217...

I don't know the topic well enough to be sure, but isn't this what you're looking for: https://github.com/a-b-street/abstreet

https://github.com/a-b-street/abstreet - project to plan, simulate, and communicate visions for making cities friendlier to people walking, biking, and taking public transit.