Presentation at Intelligent Transportation Society-Texas 2015 Annual Meeting

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Connected Vehicles: ITS Implications Short and Long Term
Thomas J. Bamonte
Assistant Executive Director, Strategy & Innovation
North Texas Tollway Authority
Twitter: @TomBamonte
November 12, 2015
ITS TEXAS 2015

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OVERVIEW
 Connected vehicles today
 Upgrade path
 Short-term ITS implications
 Long-term ITS implications
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Connected Vehicle Overview
 Connected vehicles are here
 Vehicle-to-Cloud
 OBD-II
 Maps, road information, trip planning
 Mobile commerce platform
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Data Generation
Vehicle
Telematics
Vehicle Sensors
Speed/Location
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Data Transmission
OEM’s
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Transportation In Your Pocket
 Traffic apps
 Transit apps
 Trip planning apps
 Ride sharing apps
 Uber/Lyft
 Parking apps
 Social media information
 Safe driving apps
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Information on Your Dashboard
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 Apple Carplay
 Android Auto
 OEM platforms
 Navigation services

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Vehicles Doing More Driving
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 10 years from DARPA Challenge to Tesla’s Autopilot
 Next 10 years
 Semi-autonomous driving
 Fully autonomous vehicles in low-speed settings
 AI plus mapping yields more self-driving capabilities
 Self-driving common on some roads by 2025

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The Cloud-Connected Vehicle Ecosystem
 Vehicles as data probes
 Data harvested and used
 Mapping
 Traffic conditions
 Hazards and incidents
 Trip planning
 As data flows to/from vehicle improve, greater vehicle
automation supported
 Safer
 More efficient
 Better travel experience
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Today/Tomorrow
Cloud Cloud

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USDOT’s “Path” to Vehicle Connectivity
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Short-Term ITS Implications
 Share data freely
 Static roadway features
 Dynamic elements
 Make system machine readable
 Accept third party data
to understand system
 Goal: Best information to consumers in channel they are
using
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Long-Term ITS Implications
 Highways as data generators via IoT
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Highways as Data Generators
 IoT possibilities
 Wrong-way driver warnings
 Excessive speed warnings
 Vehicle speeds and counts
 Pavement conditions
 Bridge/walls monitoring
 Vehicle weights
 Lane closures
 Hazards
 Primary consumers of data are vehicles not drivers
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Measures of Success
 Safety
 Carrying capacity of roads
 Reliability
 Throughput of people/goods
 Seamless multi-modal options
 Energy/environmental efficiency
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Conclusions
 Full vehicle autonomy unlikely
 Connection will enable autonomous operation
 ITS should facilitate connection via open data practices
 Share own data freely
 Take full advantage of third-party data about our systems
 “Do-it-alone” approach will ill-serve public and slow
transition to improved surface transportation system
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Our Mission
North Texas Tollway Authority
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
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DSRC = Delayed Slow Regressive Communication?
 5.9 Mhz
 Allocated for highway safety use in 1999
 Anticipated use in V2V and V2I safety applications
 Modest OEM/vendor interest so far
 NHTSA may mandate use on new vehicles
 How best to integrate w/existing cellular platform?
 5G coming
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