The value of communication and
infrastructure for automated cars
Professor Robert W. Heath Jr., PhD, PE
Wireless Networking and Communications Group
Department of Electrical and Computer Engineering
The University of Texas at Austin
www.profheath.org
Thanks to sponsors including the U.S. Department of Transportation through the Data-Supported Transportation
Operations and Planning (D-STOP) Tier 1 University Transportation Center, the Texas Department of Transportation
under Project 0-6877 entitled “Communications and Radar- Supported Transportation Operations and Planning (CAR-
STOP)”, National Instruments, and Toyota IDC
2
Automated vehicles
Fully
self-driving
automation
LEVEL 4
Driver
provides
destination
Driver not
available for
control
Limited/Full
Self driving
cars
Driver can cede
control over a
primary
function (eg.
ACC)
Responsible for
safe operation
Full driver
control at all
times
Diver can cede
full control of all
safety-critical
functions
Driver does not
have to monitor
the roadway at
all times
LEVEL 3
Limited
self-driving
automation
LEVEL 2
Combined
function
automation
LEVEL 1
Function
specific
automation
LEVEL 0
No
automation
Driver can cede
control on at
least two
primary
functions
Driver
responsible for
monitoring the
roadway
NHTSA,“Preliminary Statement of PolicyConcerning Automated Vehicles”,2013
3
Myths surrounding automated vehicles
Automated vehicles can be fully autonomous, no
communication is required
MYTH 1
Infrastructure has no value for automated
vehicles
MYTH 2
4
Limited range of vehicular sensing (ideal)
Car with a driver
Radar can see
200 meters
Drivers can see
3000 meters
Cameras can see
30 meters
Lidar can see
100 meters
5
Limited range of vehicular sensing (in traffic)
Radar can see
3-5 meters
Drivers can see
3-5 meters
Cameras can see
3-5 meters
Lidar can see
3-5 meters
6
How is this solved in aviation?
Show airplane flying
Show airplane
flying into clouds
Air traffic
control tower
Radar tower
Combination of communication, sensing,and infrastructure
Air-to-air commun.
A2A
Airport traffic
control tower
Transponder
7
Separation between
aircraft for collision
avoidance
Fly through weather
with limited or no
visibility
Access to restricted
airspace, faster routes,
more flight options
Full automation is not
required, though
automated flying using
2D and 3D autopilots
using inertial guidance
or GPS is common
Benefits of communication and sensing
Image source:http://www.dailymail.co.uk/news/article-2548628/
8
Do all aircraft really exploit comm.and sensing?
Flies instrument flight rules (IFR)
o Access to restricted airspace
o Faster routes and more flight options
o Ground based radar can track VFR and
IFR aircraft
Flies under visual flight rules (VFR)
o Less flexible travel, limited airspace
o Need to carefully monitor weather
o Recreational form of travel
No!
Takeaway #1: Communication is useful
Expand the sensing range of
the vehicle
Higher levels of traffic
coordination like platooning
Allows interactions
between vehicles with
different automation levels
More informed safety
decisions
10
Takeaway #2: Infrastructure is valuable
Effective with non-connected
cars, bicycles,and pedestrians
Can be used for other
functions,for example
more precise navigation
Supports sensing of the
environment,does not require
all cars to have complete sensing
equipment
Helps coordinate traffic through
intersections,eliminating lights
!
11
Ex: Passing on rural roads
What if the bus or oncoming car do not have communication capability?
82% of head-on fatal
collisions take place in
rural areas
Radar requires line-of-sight
Both communication and
radar are useful for
collision avoidance
12
Ex: Passing on rural roads
Infrastructure has enhanced sensing,better communication range
Infrastructure w/ sensing can broadcast
position, velocity,and acceleration of
vehicles
13
# of collisions
with correct
warning
# of safe
maneuvers with
incorrect warning
# of safe
maneuvers with
received warning
message
V2V - DSRC 2,545 113 349
V2I with 200m spacing 3,482 322 1097
V2I with 500m spacing 3,436 288 985
Benefits of comm. and sensing at infrastructure
Infrastructure can provide much better collision warning capability
Alice Chu,Michael Motro, Junil Choi, AbdulRawoof Pinjari, Chandra R. Bhat,Joydeep Ghosh,and R. W. Heath, Jr., ``VehicularAd-Hoc
Network (VANET) Simulations Of Overtaking Maneuvers On Two-Lane RuralHighways,'' submitted February 2016.
3,593 collisions 1,097 safe maneuvers
14
Other benefits of sensing & infrastructure
* J. Choi, N. González Prelcic, R. Daniels, C. R. Bhat,and R. W. Heath,Jr., `` Millimeter Wave Vehicular Communication to Support Massive
Automotive Sensing,'' submitted to IEEE Communications Magazine,February 2016.Also available on ArXiv.
** N. Gonzalez-Prelcic, Roi Mendez-Rial,and R. W. Heath Jr., ”Radaraided beamforming in mmWave V2I communications support antenna
diversity," ITA 2016 .
BS supporting
V2X
antennas
Radar operating in another band Radar at the
infrastructure
can help predict
blockages
Improves communication link
efficiency and reduces overheads
What can we expect of smart cities in the future?
15http://static.guim.co.uk/sys-images/Guardian/Pix/pictures
RESTRICTED LANES
RURAL AREA
DENSE URBAN AREA
DENSE SUBURBAN AREA
Class B Road Space
Level 4 automation and full communication only Automated-only
lane
Class C Road Space
Level 3 automation and full communication only
Class G Road Space
No automation or communication requirement
Must use communication equipment if available

More Related Content

PPTX
Infrastructure for Instantaneous Precise Positioning
PPTX
Connected and Autonomous Vehicle Systems R&D Overview
PPTX
The Connected Car: Impact on Wireless Communication
PDF
Safety Impacts of Connected and Automated Vehicles
PPTX
Car to car communication
PPTX
Car to Car Communication (8)
PPTX
Connected and Automated Vehicles (CAVs): Implications for Travel and Infrastr...
Infrastructure for Instantaneous Precise Positioning
Connected and Autonomous Vehicle Systems R&D Overview
The Connected Car: Impact on Wireless Communication
Safety Impacts of Connected and Automated Vehicles
Car to car communication
Car to Car Communication (8)
Connected and Automated Vehicles (CAVs): Implications for Travel and Infrastr...

What's hot (18)

PPT
VEHICLE TO VEHICLE WIRELESS COMMUNICATION
PPSX
DSRC : The future of safer driving
PDF
Future of intelligent transportation CIO Roundtable 080214
PPTX
V2V communications
PPTX
Intelligent transportation system
PPTX
Connected Vehicle 101 - US Department of Transportation
PDF
Vehicle To Vehicle Communication System
PPTX
How our cities can plan for driverless cars
PDF
Connecting California from Research to Reality
PPTX
Traffic engineering IVHS
PPTX
Queensland’s Intelligent Transport Systems (ITS) Pilot Projects
PPTX
Impacts of Automated Vehicles - Guidance for Australian and New Zealand Road ...
PPTX
Intelligent highway
PPTX
Vehicle-to-Pedestrian Technology
PDF
PPTX
Aqeeb its ppt 1
PPTX
Vehicle to vehicle communication
PPT
Human in automotive safety design
 
VEHICLE TO VEHICLE WIRELESS COMMUNICATION
DSRC : The future of safer driving
Future of intelligent transportation CIO Roundtable 080214
V2V communications
Intelligent transportation system
Connected Vehicle 101 - US Department of Transportation
Vehicle To Vehicle Communication System
How our cities can plan for driverless cars
Connecting California from Research to Reality
Traffic engineering IVHS
Queensland’s Intelligent Transport Systems (ITS) Pilot Projects
Impacts of Automated Vehicles - Guidance for Australian and New Zealand Road ...
Intelligent highway
Vehicle-to-Pedestrian Technology
Aqeeb its ppt 1
Vehicle to vehicle communication
Human in automotive safety design
 
Ad

Viewers also liked (7)

PPTX
Data Rodeo: A Data Analytics Environment for the Central Texas Region
PDF
Cooperative Vehicle Infrastructure Systems (CVIS)
PDF
Autonomous vehicles: becoming economically feasible through improvements in l...
PDF
Autonomous Vehicles: Technologies, Economics, and Opportunities
PPTX
Vehicle to vehicle communication
PPTX
Vehicular network
PPT
5g ppt new
Data Rodeo: A Data Analytics Environment for the Central Texas Region
Cooperative Vehicle Infrastructure Systems (CVIS)
Autonomous vehicles: becoming economically feasible through improvements in l...
Autonomous Vehicles: Technologies, Economics, and Opportunities
Vehicle to vehicle communication
Vehicular network
5g ppt new
Ad

Similar to The value of communication and infrastructure for automated cars (20)

PDF
AUTONOMOUS VEHICLES 2.pdf
PPT
A Ground- Level View of Connected Vehicles
PPTX
Connected and Automated Vehicles: Where Are We Going and What Happens When We...
PDF
SMART International Symposium for Next Generation Infrastructure: Next genera...
PPTX
Adrian Pearmine, DKS Associates - Connected & Autonomous Vehicles 101 (Octobe...
PDF
Introduction to Connected Cars and Autonomous Vehicles
PDF
Introduction to the connected vehicle imsa 2015 annual conference
PDF
What smart road technologies are shaping the future of transportation
PDF
Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure Communication
PDF
Z_punkt Whitepaper Connected Mobility English
PDF
Connected Vehicle Webinar for Training
PDF
Iot based smart transport management system
PDF
UT SAVES: Situation Aware Vehicular Engineering Systems
PDF
Preparing for CV Deployment read ahead 9-8-18
PDF
ESOA US Connected Cars Infogram
PPT
Inter vehicle communication
PDF
IoT Connected Car Insights from Patents
PDF
IRJET- Future of Transport: Connected Vehicles
PDF
Not Another Connected Vehicle paper
AUTONOMOUS VEHICLES 2.pdf
A Ground- Level View of Connected Vehicles
Connected and Automated Vehicles: Where Are We Going and What Happens When We...
SMART International Symposium for Next Generation Infrastructure: Next genera...
Adrian Pearmine, DKS Associates - Connected & Autonomous Vehicles 101 (Octobe...
Introduction to Connected Cars and Autonomous Vehicles
Introduction to the connected vehicle imsa 2015 annual conference
What smart road technologies are shaping the future of transportation
Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure Communication
Z_punkt Whitepaper Connected Mobility English
Connected Vehicle Webinar for Training
Iot based smart transport management system
UT SAVES: Situation Aware Vehicular Engineering Systems
Preparing for CV Deployment read ahead 9-8-18
ESOA US Connected Cars Infogram
Inter vehicle communication
IoT Connected Car Insights from Patents
IRJET- Future of Transport: Connected Vehicles
Not Another Connected Vehicle paper

More from Center for Transportation Research - UT Austin (20)

PDF
PDF
Advances in Millimeter Wave for V2X
PDF
Collaborative Sensing and Heterogeneous Networking Leveraging Vehicular Fleets
PDF
Collaborative Sensing for Automated Vehicles
PDF
Statistical Inference Using Stochastic Gradient Descent
PDF
CAV/Mixed Transportation Modeling
PDF
Real-time Signal Control and Traffic Stability / Improved Models for Managed ...
PDF
Sharing Novel Data Sources to Promote Innovation Through Collaboration: Case ...
PDF
PDF
Sharing Novel Data Sources to Promote Innovation through Collaboration: Case ...
PDF
CAV/Mixed Transportation Modeling
PDF
Collaborative Sensing for Automated Vehicles
PDF
Advances in Millimeter Wave for V2X
PDF
Statistical Inference Using Stochastic Gradient Descent
PDF
Status of two projects: Real-time Signal Control and Traffic Stability; Impro...
PDF
PDF
Managing Mobility during Design-Build Highway Construction: Successes and Les...
PPTX
The Future of Fly Ash in Texas Concrete
PDF
Fatigue Resistance and Reliability of High Mast Illumination Poles (HMIPs) wi...
Advances in Millimeter Wave for V2X
Collaborative Sensing and Heterogeneous Networking Leveraging Vehicular Fleets
Collaborative Sensing for Automated Vehicles
Statistical Inference Using Stochastic Gradient Descent
CAV/Mixed Transportation Modeling
Real-time Signal Control and Traffic Stability / Improved Models for Managed ...
Sharing Novel Data Sources to Promote Innovation Through Collaboration: Case ...
Sharing Novel Data Sources to Promote Innovation through Collaboration: Case ...
CAV/Mixed Transportation Modeling
Collaborative Sensing for Automated Vehicles
Advances in Millimeter Wave for V2X
Statistical Inference Using Stochastic Gradient Descent
Status of two projects: Real-time Signal Control and Traffic Stability; Impro...
Managing Mobility during Design-Build Highway Construction: Successes and Les...
The Future of Fly Ash in Texas Concrete
Fatigue Resistance and Reliability of High Mast Illumination Poles (HMIPs) wi...

Recently uploaded (20)

PDF
Improvisation in detection of pomegranate leaf disease using transfer learni...
PDF
Taming the Chaos: How to Turn Unstructured Data into Decisions
PDF
CloudStack 4.21: First Look Webinar slides
PDF
NewMind AI Weekly Chronicles – August ’25 Week III
PDF
Flame analysis and combustion estimation using large language and vision assi...
PDF
Credit Without Borders: AI and Financial Inclusion in Bangladesh
PPTX
Final SEM Unit 1 for mit wpu at pune .pptx
PPTX
Modernising the Digital Integration Hub
PPTX
Custom Battery Pack Design Considerations for Performance and Safety
PPTX
Build Your First AI Agent with UiPath.pptx
PDF
Developing a website for English-speaking practice to English as a foreign la...
PDF
Getting started with AI Agents and Multi-Agent Systems
PPTX
Configure Apache Mutual Authentication
PPT
What is a Computer? Input Devices /output devices
PDF
Consumable AI The What, Why & How for Small Teams.pdf
PDF
A review of recent deep learning applications in wood surface defect identifi...
PPTX
AI IN MARKETING- PRESENTED BY ANWAR KABIR 1st June 2025.pptx
PPTX
Microsoft Excel 365/2024 Beginner's training
PDF
Convolutional neural network based encoder-decoder for efficient real-time ob...
DOCX
search engine optimization ppt fir known well about this
Improvisation in detection of pomegranate leaf disease using transfer learni...
Taming the Chaos: How to Turn Unstructured Data into Decisions
CloudStack 4.21: First Look Webinar slides
NewMind AI Weekly Chronicles – August ’25 Week III
Flame analysis and combustion estimation using large language and vision assi...
Credit Without Borders: AI and Financial Inclusion in Bangladesh
Final SEM Unit 1 for mit wpu at pune .pptx
Modernising the Digital Integration Hub
Custom Battery Pack Design Considerations for Performance and Safety
Build Your First AI Agent with UiPath.pptx
Developing a website for English-speaking practice to English as a foreign la...
Getting started with AI Agents and Multi-Agent Systems
Configure Apache Mutual Authentication
What is a Computer? Input Devices /output devices
Consumable AI The What, Why & How for Small Teams.pdf
A review of recent deep learning applications in wood surface defect identifi...
AI IN MARKETING- PRESENTED BY ANWAR KABIR 1st June 2025.pptx
Microsoft Excel 365/2024 Beginner's training
Convolutional neural network based encoder-decoder for efficient real-time ob...
search engine optimization ppt fir known well about this

The value of communication and infrastructure for automated cars

  • 1. The value of communication and infrastructure for automated cars Professor Robert W. Heath Jr., PhD, PE Wireless Networking and Communications Group Department of Electrical and Computer Engineering The University of Texas at Austin www.profheath.org Thanks to sponsors including the U.S. Department of Transportation through the Data-Supported Transportation Operations and Planning (D-STOP) Tier 1 University Transportation Center, the Texas Department of Transportation under Project 0-6877 entitled “Communications and Radar- Supported Transportation Operations and Planning (CAR- STOP)”, National Instruments, and Toyota IDC
  • 2. 2 Automated vehicles Fully self-driving automation LEVEL 4 Driver provides destination Driver not available for control Limited/Full Self driving cars Driver can cede control over a primary function (eg. ACC) Responsible for safe operation Full driver control at all times Diver can cede full control of all safety-critical functions Driver does not have to monitor the roadway at all times LEVEL 3 Limited self-driving automation LEVEL 2 Combined function automation LEVEL 1 Function specific automation LEVEL 0 No automation Driver can cede control on at least two primary functions Driver responsible for monitoring the roadway NHTSA,“Preliminary Statement of PolicyConcerning Automated Vehicles”,2013
  • 3. 3 Myths surrounding automated vehicles Automated vehicles can be fully autonomous, no communication is required MYTH 1 Infrastructure has no value for automated vehicles MYTH 2
  • 4. 4 Limited range of vehicular sensing (ideal) Car with a driver Radar can see 200 meters Drivers can see 3000 meters Cameras can see 30 meters Lidar can see 100 meters
  • 5. 5 Limited range of vehicular sensing (in traffic) Radar can see 3-5 meters Drivers can see 3-5 meters Cameras can see 3-5 meters Lidar can see 3-5 meters
  • 6. 6 How is this solved in aviation? Show airplane flying Show airplane flying into clouds Air traffic control tower Radar tower Combination of communication, sensing,and infrastructure Air-to-air commun. A2A Airport traffic control tower Transponder
  • 7. 7 Separation between aircraft for collision avoidance Fly through weather with limited or no visibility Access to restricted airspace, faster routes, more flight options Full automation is not required, though automated flying using 2D and 3D autopilots using inertial guidance or GPS is common Benefits of communication and sensing Image source:http://www.dailymail.co.uk/news/article-2548628/
  • 8. 8 Do all aircraft really exploit comm.and sensing? Flies instrument flight rules (IFR) o Access to restricted airspace o Faster routes and more flight options o Ground based radar can track VFR and IFR aircraft Flies under visual flight rules (VFR) o Less flexible travel, limited airspace o Need to carefully monitor weather o Recreational form of travel No!
  • 9. Takeaway #1: Communication is useful Expand the sensing range of the vehicle Higher levels of traffic coordination like platooning Allows interactions between vehicles with different automation levels More informed safety decisions
  • 10. 10 Takeaway #2: Infrastructure is valuable Effective with non-connected cars, bicycles,and pedestrians Can be used for other functions,for example more precise navigation Supports sensing of the environment,does not require all cars to have complete sensing equipment Helps coordinate traffic through intersections,eliminating lights
  • 11. ! 11 Ex: Passing on rural roads What if the bus or oncoming car do not have communication capability? 82% of head-on fatal collisions take place in rural areas Radar requires line-of-sight Both communication and radar are useful for collision avoidance
  • 12. 12 Ex: Passing on rural roads Infrastructure has enhanced sensing,better communication range Infrastructure w/ sensing can broadcast position, velocity,and acceleration of vehicles
  • 13. 13 # of collisions with correct warning # of safe maneuvers with incorrect warning # of safe maneuvers with received warning message V2V - DSRC 2,545 113 349 V2I with 200m spacing 3,482 322 1097 V2I with 500m spacing 3,436 288 985 Benefits of comm. and sensing at infrastructure Infrastructure can provide much better collision warning capability Alice Chu,Michael Motro, Junil Choi, AbdulRawoof Pinjari, Chandra R. Bhat,Joydeep Ghosh,and R. W. Heath, Jr., ``VehicularAd-Hoc Network (VANET) Simulations Of Overtaking Maneuvers On Two-Lane RuralHighways,'' submitted February 2016. 3,593 collisions 1,097 safe maneuvers
  • 14. 14 Other benefits of sensing & infrastructure * J. Choi, N. González Prelcic, R. Daniels, C. R. Bhat,and R. W. Heath,Jr., `` Millimeter Wave Vehicular Communication to Support Massive Automotive Sensing,'' submitted to IEEE Communications Magazine,February 2016.Also available on ArXiv. ** N. Gonzalez-Prelcic, Roi Mendez-Rial,and R. W. Heath Jr., ”Radaraided beamforming in mmWave V2I communications support antenna diversity," ITA 2016 . BS supporting V2X antennas Radar operating in another band Radar at the infrastructure can help predict blockages Improves communication link efficiency and reduces overheads
  • 15. What can we expect of smart cities in the future? 15http://static.guim.co.uk/sys-images/Guardian/Pix/pictures RESTRICTED LANES RURAL AREA DENSE URBAN AREA DENSE SUBURBAN AREA Class B Road Space Level 4 automation and full communication only Automated-only lane Class C Road Space Level 3 automation and full communication only Class G Road Space No automation or communication requirement Must use communication equipment if available