Ted opener notes low and high level - regulators, telcos, oems, researchers, transpo providers, telematics service providers

Moving pieces to https://www.w3.org/auto/events/data-ws-2019/schedule.html

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Bringing the Car to the Internet Rudolf Streif, Ibeeto
W3C Auto overview Ted Guild, W3C
Standardization as enabler towards a data centric architecture in automotive, Adnan Bekan, BMW
<a href="/2019/09/trans-data-ws/GENIVI_CloudConnectedServicesv4.pdf">Cloud & Connected Services Overview</a>, Steve Crumb, GENIVI

Transportation Mobility Cloud - Jay Hum, Autonomic

Practical privacy for drivers - Arjun Hassard, Nucypher



 Trajectories for Moving Objects
@@ 
 Spatial Data, Linked Building Data 
@@

 
Design decisions for ontologies
Personal Profiles

@@ Gaurav Tungatka, Uber

 Spatial Data on the Web best practices

 Extensibility and Schema.org core ontologies 
** Publishing and pitfalls
  Ted Guild, W3C
 Accessibility, annotation fields 
**  Janina Sajke, Linux Foundation
  Ted Guild, W3C
Marketplace Mentality
 Data openness and ownership




#  Daniel Massey, University of Colorado

 Federated Learning - Duncan Deveaux, EURECOM

 Portability across providers (NMFTA ELD, Solid)
  
 
 Sampling, quality and additional metadata
@@?  panel:
  George Pervical, OGC
  Harjot Singh, Geotab
  Ted Guild, W3C
 Permissions, Access Control in data store 

Privacy

Data privacy, security and ownership in the open car, Lothar Determan
#?  Josh Shinavier, Uber

Challenges

Assuming we have room in the schedule to accommodate each of these
> talks, I see the following pairing of presentations with sessions:
> 1) Data Standardization -- Data design decisions
> 2) Customer 2.0 -- Data design decisions
> 3) JUMP -- Setting the context: Transportation Sector Perspectives
> 4) Elevate -- Setting the context: Transportation Sector Perspectives
>     or perhaps: Routing, IoT and GIS
> 5) Freight -- Routing, IoT and GIS

=====================

Keynote: ??

candidates:
Adnan - new head of BMW office Laurence M? EVP of BMW NA
Lothar Determan - paper open cars
George Pervical - OGC - ITS
Gunnar Anderson - GENIVI
Dr Dan Massey - UC Boulder


Breakout sessions
 
[afternoon topic]

[desired outcome, direction and establish next steps]

Topics:
==================================

identify presenters and goals for each session

Setting context
 Goals for the workshop

6, 5

#D1 A11y
 
#D1 Transportation Sector Perspectives

 get some detailed use cases and data needs from a couple sectors
 collect additional ontologies from attendees besides those provided in registration
 map ontologies to sectors and identify gaps - part of future 

 Fleet - commercial vs consumer vehicles: Geotab (Amir) && Autonomics
  contributing data to research, traffic management, pollution/weather observations**
 Multi-modal - Uber
  planning pieter && megan - joakim - predictive intent, Luis-Daniel Ibáñez, 
 Regulators / Crash analysis   - US DOT?
 
#D1 GIS and routing - OGC
 Smart Cities/IoT/ITS (*do we want an ITS overview?) - BMW && OGC
   Roadways, Moving Objects, Linked Building Data, Observations

 route - trip info == route taken w/ mode[s], timestamps and observations
 
#D1 breakouts

 Insurance - NAIC
 Aftermarket - TPMS example, challenge of getting additional data points into stream from vehicle
 Maintenance/service log
 Autonomous Vehicles - mixed fleet data for federated learning, AV behavior evaluation

 sector needs
 ontology cataloging

 additional privacy considerations


		   

# Accessibility - taking a11y into mind in design decisions - w3c a11y community willing to help - US DOL/SAE
@@


D2 breakouts
  More Modes
   \Generic profiles for modes, route planner for weighted making decisions
   Urban air mobility (NAIC guy)
   Bicycle - (Ridar Systems)
   Rail
   Air
   Mass transit 


D2? Marketplace Mentality
 definition and merits
 
 Needs:
  Use cases / stories 
  Privacy (an entirely separate topic)
  Open data models
  Clear access models
  Portability (Solid, NMFTA on ELD)
  Data openness and ownership
   there will be silos, how to incorporate
  Metadata on data quality - sampling methodology, accuracy (W3C PROV) etc

D2 Privacy
 presentations from attendees on their approaches
 discussion on merits of each, fit to needs seen by others

 ethics, how to protect against misuse
 business operations of customers - avoid overindexing and revealing trade secrets
 unintented consequences
 
D2 Profiles - individuals including a11y, preferences of modes
 Consent capture
 Encryption and Access Control

D2 
 connectivity, [near] real-time data dependencies
 transmission out of scope, however