Panasonic Smart Mobility is the intelligent digital mesh of the mobility ecosystem. It is at the forefront of the next big shift in the mobility universe, with its unique combination of software, hardware, and advanced analytics expertise to build smarter, safer ways for people and things to more efficiently navigate the ever-changing world. The Data Science & Analytics team is developing an innovative information pipeline to collect and process data from many sources, to create aggregations and insights. To do this, Panasonic is reliant on high-quality, trusted data, across its entire technology stack. Register to join this webinar and hear Panasonic Smart Mobility’s approach to managing data quality. Attendees will hear: - How Panasonic Smart Mobility is using data to build a safer, connected, transportation future - How the team is structured to operate efficiently, and use and share data - The tools, processes, and methodologies used for data quality management

1. 1
Managing Data Quality for Connected
Vehicle Safety & Mobility Applications

2. 2
Introductions & Agenda
2
Lauren Cordova
Head of Data Science & Analytics
Kevin Bennett
Data Engineering Manager
Renee Philipp
Senior Quantitative Researcher
Kjeld Lindsted
Business Development
DS&A Team &
Panasonic Smart
Mobility Overview
How Panasonic
Manages Connected
Vehicle Data
Connected Vehicle
Data for Connected
Intersections
Measurable Benefits
of Connected
Intersection Features

3. 3
Panasonic Overview
Lauren Cordova, Head of Data Science & Analytics

4. 4
Panasonic Smart Mobility Office -- Data Science & Analytics Organization
4
Data
Engineering
Analytics
Engineering
Data
Science
Quantitative
Research
Data Documentation
Data Curation
Data Exploration
Dashboards
Data Analytics
Data Storytelling
Data Pipelines
Data Architecture
Process Automation
KPI Development
Research Design
Inferential Statistics
Survey Sampling
Statistical Analysis
Deep Analytics
Machine Learning

5. 5
Today’s cars have a lot to say…
5

6. 6
Connected Vehicle Technology
and How it Works
V2X = Vehicle-to-Everything
Communication

7. 7
Supported by National/Federal Standards & OEMs
Member
Companies
7

8. 8
Basic Safety Message (BSM) Data Mapping

9. 9
105 million connected cars
20 TB per hour
150 PB per year

10. 10
Better outcomes for all of us
42% Shorter freeway travel
times
27% Shorter arterial roadway
travel times
23% Shorter response times
for emergency vehicles
Accelerated pace
towards zero fatalities
Improved air quality Fewer crashes and fatalities at
red lights, crosswalks and
curves
+ + –
Source: USDOT Connected Vehicle Benefits, 2015
10

11. 11
CIRRUS
by
Deployment
11

12. 12
DOTs & 3rd Parties
12

13. 13

14. 14
How Panasonic Manages CV Data
Kevin Bennett, Data Engineering Manager

15. 15
Panasonic’s Data Science
& Analytics team ingests
data from many sources
to create aggregations
and insights
Types of Data
Collected
Traveler
Information
Messages
(TIMs)
Event Data
Health
Monitoring
Data
Basic
Safety
Messages
(BSMs)
Intersection
Data
Weather
Data

16. 15
Sample Road Events Detected from BSMs
Hard Brake (from vehicle acceleration/deceleration data)
Hazard Lights (from vehicle light status data)
Rain (from vehicle wiper and temperature sensor data)
Snow (from vehicle wiper, temperature sensor, and traction control data)
Cirrus detected weather and roadway events from vehicle data in Utah (March 2022)

17. 17
Data Volumes
138 Intersections
> 4 Billion Records per Month
Roadside Deployments
380 Roadside Units
>7 Billion Basic Safety Messages (BSMs)
300,000 Roadway Events
2,300 Traveler Information Messages (TIMs)
Connected Intersections

18. 18
Tech Stack
Orchestrate Data Pipelines Data Warehouse
Transform Quality Visualize Document

19. 19
Data Quality Example: Pipeline Monitoring

20. 20
CV Data for Connected Intersections
Kjeld Lindsted, Business Development

21. 21
What are Connected Intersections anyway?
 Connected Vehicles & Intersections
CIRRUS
By Panasonic
Basic Safety Message
(BSM)
Traveler Information
Message
(TIM)
Signal Phase & Timing
(SPaT)
Intersection Map
(MAP)
Signal Request Message
(SRM)
Connected Vehicle Connected Intersection
Signal Status Message (SSM)

22. 22
Emergency Vehicle Preemption, and much more!
 Connected Intersection Preferential Treatment (CIPT)
Preemption
Immediate change to green for rapid
intersection crossings
Priority
Shortened red or longer green light to
reduce intersection delay
Transit Signal
Priority (TSP)
Freight Signal
Priority (FSP)
Emergency
Vehicle
Preemption (EVP)
Snowplow Signal
Preemption
(SSP)

23. 23
Benefits of Connected Intersection Features
Renee Philipp, Senior Quantitative Researcher

24. 24
The Project in Utah
Note: Map sourced from https://www.nationsonline.org/oneworld/map/USA/utah_map.htm

25. 25
Deployment Footprint

26. 26
Fuel cost savings
Emergency vehicle response time
Key Outcomes

27. 27
Methodological Approach
Primary Data
• Created first-hand
• Resource intensive
• May provide control over some
extraneous variables
Secondary Data
• Utilizes existing data that may
alleviate need for first-hand data
• Limited by what is available
• Enables (near) real-time analysis

28. 28
Data Types/Sources
BSMs MAP, SPaT,
SRM, SSM
Vehicle operator
demographics,
weather, fuel
V2X data

29. 29
Emergency Vehicle Response Time
Does EVP improve
intersection traversal time?
Does EVP improve
incident response time?

30. 30
Fuel Cost Savings
Does EVP reduce intersection stops and/or idle time?
If so, what is the cost savings in terms of fuel consumption?

31. 31
Research Timeline
Plan
Studies
Identify
Data
Sources
Drive
Tests
Execute
Studies
Analyze
Data
Report
Operat-
ionalize
Metrics

32. 32
Managing Data Quality for Connected Vehicle Safety & Mobility Applications
DS&A Team &
Panasonic Smart
Mobility Overview
How Panasonic
Manages Connected
Vehicle (CV) Data
Connected Vehicle
Data for Connected
Intersections
Measurable Benefits
of Connected
Intersection Features
Lauren Cordova
Head of Data Science & Analytics
Kevin Bennett
Data Engineering Manager
Renee Philipp
Senior Quantitative Researcher
Kjeld Lindsted
Business Development
33