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Mobility. Safety. Customers. Economy. Responsible Steward Automated Vehicles Symposium 2015 Automated Vehicles and Privacy Issues: Learning From Experience Thomas J. Bamonte (@TomBamonte) Assistant Executive Director, Strategy & Innovation North Texas Tollway Authority July 22, 2015

Automated Vehicles and Privacy Issues: Learning from Experience

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Page 1: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Automated Vehicles Symposium 2015

Automated Vehicles and Privacy Issues: Learning From Experience

Thomas J. Bamonte (@TomBamonte)Assistant Executive Director, Strategy & InnovationNorth Texas Tollway Authority

July 22, 2015

Page 2: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Overview

Toll highways and data generationPrivacy concerns and responsesApplication to automated vehicles

Page 3: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

U.S. Toll Highway Network

Page 4: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Overview of Highway TollingToll highways/bridges in 35 states2,900 miles of tolled interstates in 21 states5+ billion trips handled annuallyTolls = approx. 35% of federal gas tax revenueIndustry moving to “all electronic tolling” (AET)

Page 5: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Mechanics of Electronic Tolling

Page 6: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Pay-by-Plate Customers

Page 7: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Trip Data Collection

Page 8: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Registered Owner Information

Personal information Home address Telephone Driver license number Email address License plate number Credit card information Vehicle year/make/model/color/VIN

Sources Customer accounts DMV data Collection efforts

Page 9: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Roadway Camera Coverage

Page 10: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Law Enforcement: ALPR

Page 11: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

HOT Lane Enforcement

Page 12: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Emerging Tolling Methods

Page 15: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

“Black Box” Event Data Recorders

Capture crash-related data Pre-crash vehicle dynamics

and system status Driver inputs Vehicle crash signature Restraint usage/deployment

status Post-crash data such as the

activation of an automatic collision notification system

Installed in most vehicles

—NTHSA mandate forward

Page 16: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Driver Fitness Monitoring

Page 18: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Current Highway User Privacy Protections

Contract: Customer account agreements

Customer account and trip data shielded from general disclosure; use allowed – When conducting tolling business In response to court order

(e.g., warrant) When aggregated (e.g., studies)

High data protection standards in place (e.g., PCI compliance)

Other data streams covered by user agreements (e.g., Waze)

Page 19: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

State Law Protections

Customer account

information & trip data =

FOIA exception

Mandated privacy policies & data security requirements

Laws governing ownership & use of event

data recorders

General data security &

breach notice requirements

ALPR regulation

Page 20: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Federal Law Protections

Drivers Privacy Protection Act

Various consumer law protections

Federal legislation introduced to protect locational privacy—including vehicles

Jones & Riley decisions

Page 21: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Established Principles

Customer account information and trip data shielded from general disclosure

Used for toll collection purposes

Not disclosed unless legally required (e.g., warrant)

Anonymized data used for analysis

High data protection standards (e.g., PCI compliance)

Vehicle data belongs to vehicle owner

No transfer of data to 3d parties w/out consent

Page 22: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Challenges: Automated Vehicles

Extensions into law enforcement

“Taking over” vehicle for safety/traffic management

Sponsored ads in visual stream on dashboard

Sale of highway user dataVehicle sensor array poses

own privacy challenges

Page 23: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

Cybersecurity Eclipses Other Privacy Concerns

Page 24: Automated Vehicles and Privacy Issues: Learning from Experience

● M o b i l i t y . S a f e t y . C u s t o m e r s . E c o n o m y . R e s p o n s i b l e S t e w a r d ●

North Texas Tollway Authority

Our Mission

Provide a safe and reliable toll road system Increase value and mobility options for customers Operate the Authority in a businesslike manner Protect our bondholders Partner to meet our region’s growing need for transportation infrastructure