Re: Question on roadway weather event standards

Moving discussion to public-transportation-data mailing list that I
created and announced last week for this sort of topic.

https://lists.w3.org/Archives/Public/public-automotive/2020Feb/0060.html

On Tue, 2020-02-18 at 15:22 +0000, Rittmuller, Robert (VOLPE) wrote:
> No objections! I agree, this would be well served by having the
> conversation moved over to the mailing list. Thanks again for
> elevating this up to the right level. 
> 
> Thanks,
> RJ
> 
> On 2/18/20, 10:21 AM, "Ted Guild" <ted@w3.org> wrote:
> 
>     RJ,
>     
>     Any objection to me moving this over to the new mailing list?
>     
>     George or Clemens,
>     
>     OGC and TC211 both have observations ontologies. Roadway weather
>     event/conditions may be served with combination of the route
> ontology
>     Clemens is working on, observations over time (TimeseriesML) and
> NTCIP
>     1204. That would follow a core/modular approach over monolithic.
>     
>     https://www.opengeospatial.org/pressroom/pressreleases/3158
>     
>     
> https://www.ntcip.org/wp-content/uploads/2018/11/NTCIP1204v0308r3withErrata.pdf
>     
>     On Mon, 2020-02-17 at 09:28 -0600, Kenneth Vaughn wrote:
>     > While I am unaware of a complete data model for road-weather
> per se
>     > (e.g., a timeline analysis), NTCIP 1204 does provide data
> definitions
>     > for reporting current road-weather conditions. If this is of
>     > interest, I could easily turn this into a UML class diagram and
> post.
>     > 
>     > Regards,
>     > Ken Vaughn
>     > 
>     > Trevilon LLC
>     > 6606 FM 1488 RD #148-503
>     > Magnolia, TX 77354
>     > +1-936-647-1910
>     > +1-571-331-5670 cell
>     > www.trevilon.com
>     > 
>     > > On Feb 14, 2020, at 1:20 PM, Megan Katsumi <
> katsumi@mie.utoronto.ca
>     > > > wrote:
>     > > 
>     > > Thanks, Ted!
>     > > Hi RJ,
>     > > To comment from the ISO JTC1 side of things - we don't
> currently
>     > > have weather conditions in our ontology, but that was
> definitely an
>     > > item that we had marked for future work. Would definitely be
>     > > interested in seeing  the model that Volpe is working on, as
> well
>     > > as if other groups have addressed this. As Ted mentioned,
> maybe
>     > > this might be a good question to post to the new mailing
> list.
>     > > 
>     > > Best,
>     > > Megan
>     > > 
>     > > On Fri, Feb 14, 2020 at 11:40 AM Rittmuller, Robert (VOLPE) <
>     > > robert.rittmuller@dot.gov> wrote:
>     > > > Thanks Ted, here is some additional background on what the
> Volpe
>     > > > team is looking for.
>     > > > 
>     > > > The machine learning / AI team here at Volpe is developing
> a
>     > > > weather detection model specifically for the SHRP2
> Naturalistic
>     > > > Driving Study data set. The purpose of this feature
> detection
>     > > > model will be to assist transportation safety researchers
> in
>     > > > being able to identify adverse weather conditions for trips
> as
>     > > > recorded in the SHRP2 Roadway Information Database (RID).
> We are
>     > > > in the formative stages of developing the data
>     > > > annotation/labeling strategy and are seeking input on what
>     > > > standards might be informative to the development of those
>     > > > labels. The core concept is to be as standards-based as
> possible
>     > > > with our data labeling strategy for this model so it has
> high
>     > > > utility for transportation researchers working with SHRP2
> data. 
>     > > > 
>     > > > Thanks,
>     > > > RJ
>     > > > 
>     > > > On 2/14/20, 10:50 AM, "Ted Guild" <ted@w3.org> wrote:
>     > > > 
>     > > >     RJ,
>     > > > 
>     > > >     As you'll see in separate email, your inquiry and
> Megan's
>     > > > recent
>     > > >     prompting is encouraging me to hasten a soft launch of
> this
>     > > > group
>     > > >     instead of waiting for all the formalities.
>     > > > 
>     > > >     Adding some specific people to this message to see if
> we can
>     > > > get any
>     > > >     guidance, perhaps moving the conversation over to the
> new
>     > > > mailing list.
>     > > > 
>     > > >     What sort of data models exist, under development or
>     > > > consideration for
>     > > >     roadway weather conditions/events? 
>     > > > 
>     > > >     On Fri, 2020-02-14 at 13:22 +0000, Rittmuller, Robert
> (VOLPE)
>     > > > wrote:
>     > > >     > Thanks! I did look at some of the SmartCities work
> but ran
>     > > > into
>     > > >     > mostly the same information/situation I was finding
>     > > > elsewhere. For
>     > > >     > what we are doing, conflating some of the common
>     > > > designations into a
>     > > >     > common core label structure will work as the model we
> are
>     > > > developing
>     > > >     > is going to be multi-label. Our target data set is
>     > > > currently the
>     > > >     > SHRP2 NDS data so that limits the scope to where I
> don't
>     > > > think we
>     > > >     > will do much damage if there is no accepted common
>     > > > standard. I'll
>     > > >     > keep an eye on what's developing in this space so at
> some
>     > > > point in
>     > > >     > the future we can incorporate common standards-based
>     > > > designations. 
>     > > >     > 
>     > > >     > -RJ
>     > > >     > 
>     > > >     > On 2/13/20, 7:23 PM, "Ted Guild" <ted@w3.org> wrote:
>     > > >     > 
>     > > >     >     Hi RJ,
>     > > >     >     
>     > > >     >     I don't and still relatively new at geospatial
> ontology
>     > > > area.
>     > > >     > There is
>     > > >     >     a mix of things going on in ISO's Intelligent
>     > > > Transportation
>     > > >     > Systems
>     > > >     >     (ITS), SmartCities and Geospatial activities.
> Some
>     > > > actually gets
>     > > >     >     implemented. Open Geospatial Consortium actually
> gets
>     > > > things out
>     > > >     > there
>     > > >     >     and implemented and I would suggest poking around
> there
>     > > > first,
>     > > >     > ITS
>     > > >     >     second. I have had some access inside OGC plus
> they
>     > > > have a fair
>     > > >     > amount
>     > > >     >     public and recently got ITS.
>     > > >     >     
>     > > >     >     I'm starting to form a cross standards body
>     > > > coordination
>     > > >     > committee but
>     > > >     >     it isn't up and functional yet as this would be a
>     > > > perfect
>     > > >     > question
>     > > >     >     there. 
>     > > >     >     
>     > > >     >     On Thu, 2020-02-13 at 21:27 +0000, Rittmuller,
> Robert
>     > > > (VOLPE)
>     > > >     > wrote:
>     > > >     >     > Ted, a completely random non-cybersecurity
> question
>     > > > for you! I
>     > > >     > have a
>     > > >     >     > project that’s currently looking to train a
> roadway
>     > > > weather
>     > > >     > event
>     > > >     >     > classifier for forward-facing video data sets.
> I’ve
>     > > > done some
>     > > >     >     > research into what standards might exist for
>     > > > developing a
>     > > >     > roadway
>     > > >     >     > weather label set but keep coming up with the
> usual
>     > > >     > meteorological
>     > > >     >     > resources. My question is this; are you aware
> of any
>     > > > standard
>     > > >     >     > classifications of roadway weather that might
> serve
>     > > > as a good
>     > > >     > base
>     > > >     >     > label set for something like this? I’m really
> keen on
>     > > > something
>     > > >     > that
>     > > >     >     > is directly automotive and has wide
> applicability for
>     > > >     > researchers who
>     > > >     >     > might be performing searches on these types of
> video
>     > > > data sets.
>     > > >     >     >  
>     > > >     >     > Thanks,
>     > > >     >     > Robert Rittmuller, PMP CISSP VCP
>     > > >     >     > Safety Information Systems Division | V-311
>     > > >     >     > Volpe Center | U.S. Department of
> Transportation
>     > > >     >     > ( O: 617.494.3634 | * robert.rittmuller@dot.gov
>  |
>     > > >     > 8   www.volpe.dot.g
>     > > >     >     > ov
>     > > >     >     > ( M: 978.801.1376
>     > > >     >     > Advancing transportation innovation for the
> public
>     > > > good
>     > > >     >     > “The future always wins. Know that the “way
> we’ve
>     > > > always done
>     > > >     > it”
>     > > >     >     > is almost certain to become obsolete—and soon.”
>     > > >     >     >  
>     > > >     >     -- 
>     > > >     >     Ted Guild <ted@w3.org>
>     > > >     >     W3C Automotive Lead
>     > > >     >     https://www.w3.org/auto
>     > > >     >     
>     > > >     >     
>     > > >     > 
>     > > >     -- 
>     > > >     Ted Guild <ted@w3.org>
>     > > >     W3C Automotive Lead
>     > > >     https://www.w3.org/auto
>     > > > 
>     > > > 
>     > > > 
>     > > > 
>     > > 
>     > > 
>     > > -- 
>     > > Megan Katsumi, PhD, MASc
>     > > Postdoctoral Fellow
>     > > Enterprise Integration Laboratory
>     > > Transportation Research Institute
>     > > University of Toronto
>     > 
>     > 
>     -- 
>     Ted Guild <ted@w3.org>
>     W3C Automotive Lead
>     https://www.w3.org/auto
>     
>     
> 
-- 
Ted Guild <ted@w3.org>
W3C Automotive Lead
https://www.w3.org/auto

Received on Tuesday, 18 February 2020 15:52:05 UTC