In this session, discover connected vehicle innovations being driven by GENIVI, the nonprofit industry alliance driving open source and open technology standards for connected vehicles. The GENIVI RVI platform provides a foundation for bi-directional vehicle communications – for example, vehicle data (i.e. low fuel level) can be communicated to the GENIVI RVI server, analytics performed (determine closest gas station) and a message delivered back to the vehicle (directions to gas station). In combination with the Hortonworks Connected Data Platform (Apache Hadoop and NiFi) vehicle data can be seamlessly ingested, analyzed and stored leveraging a 100% open source solution. This session will culminate by outlining a new initiative being undertaken by the City of Las Vegas and GENIVI to integrate connected vehicles into the city’s emerging Smart City landscape, creating the Smart Transportation Infrastructure of the Future. BACKGROUND: On January 13th, 2017, The GENIVI Alliance and Nevada Center for Advanced Mobility announced an In-Vehicle Communication Pilot Project to Increase Awareness for Pedestrian Safety and Assist Traffic Flow in Las Vegas. In-Vehicle Communications Technology will be Deployed to Help Improve Vehicle-to-Pedestrian Awareness on High-Traffic and Multi-Modal Corridors. Please refer to the official Press Release for this initiative: https://www.genivi.org/sites/default/files/press-releases/english/GENIVI-Team%20Nevada%20Press%20Release%20Final%20.pdf

1. Creating the Smart Transportation
Infrastructure of the Future
June 13, 2017
Steve Crumb
Executive Director
GENIVI Alliance
Michael Ger
General Manager, Automotive, Hortonworks
GENIVI Alliance

2. Agenda
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• GENIVI-Las Vegas Connected Vehicle Pilot
• Key Use Cases
• Data Flow and Solution Architecture
• Open Source Data Management for Connected Vehicles
• Application Walk-Through
• Benefits to City of Las Vegas and Regional Transportation Commission of
Southern Nevada
• Project Challenges and Lessons Learned
• Q & A

3. GENIVI-Las Vegas Connected Vehicle Pilot
Key Objectives
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4. GENIVI Alliance: An Open, Connected Car Community
• Nonprofit industry alliance
• More than 140 members from
across global automotive
ecosystem
• Delivering open software for
the connected car to reduce
costs and accelerate
innovation
• 25+ products deployed on
five continents
Hardware and
Silicon Suppliers
Operating System
Vendors and
Integration
Providers
Independent
Software
Vendors
and Specialty
Software
Providers
Automakers
and Suppliers
Start-ups
and Academia
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5. OEMs
GENIVI Alliance Membership
First Tiers
OSV, Middleware, Hardware, and Services Suppliers
Silicon

6. The Case for Change
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• In 2016, the State of Nevada saw
213 vehicle, bicycle & pedestrian
fatalities
– 5% increase from 2015
• Approximately 50% of incidents
occur midblock, not within marked
crosswalks
• In March 2016, Nevada Department
of Transportation launched
awareness program to improve
pedestrian safety
• Critical strategies identified to
reduce pedestrian fatalities:
– Reduce speeds along corridors with
high pedestrian activity
– Reduce pedestrian exposure while
crossing street
– Deploy pedestrian safety
awareness campaigns
• City of Las Vegas pilot focuses on
implementing these strategies

7. 4 Pilot Use Cases
Use Case Description
UC1 Speeding warning Display IVI warning to drivers exceeding current
speed limit, lowering risk of pedestrian strikes
UC2 High-risk pedestrian
area warning
Using the vehicle’s position and time of day,
display IVI warning when vehicle nearing area
known to be high risk for pedestrians
UC3 Bus stop warning Display IVI warning that a bus is stopped at a
nearby bus stop, preventing potential accidents
UC4 Traffic jam warning Collect data from stopped vehicles to determine
potential jam, display IVI warning to approaching
drivers, reduce chance of rear-end collisions
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8. Key Measures of Success
 Using vehicle speed data, determine if drivers slow down in
response to warnings. Measure and report success rates
 Gather qualitative feedback from drivers through interviews,
surveys and in-car video
City of Las
Vegas Pilot
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9. Pilot Status
Pilot
Kickoff
OBU
Development
& Testing
Server &
Software
Installation
First
OBU
plus
scenario
1
deployed
20 OBUs
plus
scenario
2
deployed
Mid
project
review
50 more
OBUs
plus
scenario
3
deployed
Remaining
OBUs plus
scenario 4
deployed
CES
2018
Read-
out
Jan March May June July October Jan 2018
OBU = On-board unit
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10. CONNECTED VEHICLE
1. On-board units running
GENIVI open source
software gather and
transmit fleet vehicle
location/speed across a
mobile network.
GENIVI RVI SERVER
2. City-hosted server
running GENIVI Remote
Vehicle Interaction(RVI)
software receives vehicle
data and serves as a data
source for further
analysis.
BIG DATA SERVERS
3. City-hosted servers running
Hortonworks software
combine vehicle data with
other data provided by the
city/region including bus stop
locations and bus status.
Certain data combinations
result in actionable messages
sent back to the vehicle via
the RVI server.
DRIVER AWARENESS
4. Actionable messages are
displayed on the on-board
units to increase driver
awareness of upcoming
pedestrian traffic.
DATA ANALYTICS
5. Data is archived so that
analytics and visualization
tools can be used for
future planning by the
city/region.
GENIVI – Las Vegas Connected Vehicle Pilot Data Flow

11. Open Source Data Management for Connected Vehicles
DATA IN
MOTION
DATA AT
REST
Data Scientist
Operations
Business Intelligence
Connected Vehicle
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12. Hortonworks Connected Data Platform
Data Scientist
Operations
Connected Vehicle
DATA IN
MOTION
HDF
DATA AT
REST
HDP
ACTIONABLE
INTELLIGENCE
Hortonworks
DataFlow
Hortonworks
Data Platform
Tested, Certified and Supported Distribution of Open Source Components
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13. Solution Walk Through

14. City of Las Vegas - System Architecture
Vehicle
Communications
Long Term Storage Reference Data
Application Logic &
Message Routing
Vehicles
Real Time City Data
Sources
(Bus Locations)
(Bus Stops)
Speed and Location
Bus stops and locations
Vehicle Messages
Vehicle AlertsVehicle Alerts
Static City Data
Sources
(Speed Limits)
(Pedestrian Zones)
Static Data
RVI
Server
Hortonworks
DataFlow
Hortonworks
Data Platform
V 2.1
V 2.5
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15. Flow Overview
1. Receive Vehicle Data
3. Warn Driver
UC3
Bus Stop Warning
UC1
Speeding Warning UC2
High-Risk Pedestrian Area
2. Process
Use Cases

16. RVI Data Ingestion
1. Receive Vehicle
Data (ListenHTTP) 2. Fork Data
3a. Extract GPS Data 3b. Extract Vehicle Data
4. Reformat for
each use case
To UC2To UC1 To UC3
5. Output Data to
Use Cases
6. Store in Hadoop

17. UC1 – Speed Warning
2. Build location
based Query
5. To Speed Warning
1. Receive UC1 RVI Data (Location, Speed)
3. Query location
for speed limit
4. Calculate if
speeding

18. UC2 – High Risk Pedestrian Area
2. Build location
based Query
5. To High Risk Pedestrian
Area Warning
1. Receive UC2 RVI Data (Location)
3. Query location
for high risk
4. Calculate if
Vehicle in High
Risk Area

19. UC3 – Active Bus Stop Warning
2. Build location
based Query
5. To Active Bus
Stop Warning
1. Receive UC3 RVI Data (Location)
3. Query location for
ACTIVE bus stop
4. Calculate if vehicle
by ACTIVE bus stop

20. Warn Driver
1. Receive Warning
2. Determine
Warning Type
3. Build Warning
Message
4. Warn
Driver
5. Index Warnings
By Driver

21. Benefits to City and Region
• Currently, traffic data is data collected manually by City staff, citizens and
police reports - data is often old or incomplete
• Connected vehicle technology opens the door to both real-time and historical
data on how our roads are operating
– Data will be readily available for immediate analysis
– We can identify outliers in data (i.e. locations with many hard stops or
higher/slower speeds than posted)
– Also considering use of vibration data to identify pavement rehab projects
• Data from Vehicle may alleviate need to invest in vehicle-to- infrastructure
(V2I) data collection
“Our planning efforts are only as good as our access to reliable data”
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22. Project Challenges and Lessons Learned
• Initial GENIVI JLR RVI POC (1 year ago), provided foundation for vehicle
command and control
• Current pilot focused on communications, warnings and recommendations
• Capability Ramp-Up
– Available infrastructure
– Linux and Hadoop expertise
– Distributed system knowledge
– System configuration requirements
– Roles and responsibilities
• Cloud solutions can help
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23. Thank you!
Visit GENIVI at http://www.genivi.org or http://projects.genivi.org
Contact us: help@genivi.org
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 (CC BY-SA 4.0)
GENIVI is a registered trademark of the GENIVI Alliance in the USA and other countries.
Copyright © GENIVI Alliance 2017.