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Planning for a Connected and
Autonomous Future
The 2017 D-STOP Symposium
Natalia Ruiz Juri, Ph.D.
February, 2017
Planning & Models
• Different types of models
• Goal: Characterize & quantify the impacts of CAVs on traffic
networks
Why modeling?
Transportation systems are complex
Starting Point Intended Outcome Final Outcome
Looking at a single dimension of the problem may be misleading
Good
Very bad
Speed
Transportation Planning Process
• How many people want to travel?
• Where are they going? (and when)
• What mode will they use?
• What routes will they follow?
Traffic patterns & conditions
CAVs in the planning process:
Trip Making Behavior
• Number of trips
– New travelers
• Mode choice
– Ride sourcing (?)
• Destination choice
• Life style choices
– Residential location
– Vehicle ownership:
Adoption of CAVs
www.newsela.com
sharedusemobilitycenter.org
CAVs in the planning process:
System Performance
• More effective ITS
• Headway reduction
• No control at intersections
• Transition?
fhwa.dot.gov
Dr. Peter Stone
The University of Texas at Austin
CAVs in the planning process:
Routing Behavior
• Information availability and use
• Path selection criteria
• Routing paradigms
The Path to Modeling CAVs
• Interdisciplinary research
• Community engagement
• Data
Safety Pilot Data: Trip Origins
Safety Pilot Data: Routes for
selected origin-destination pair
Thank You!

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Planning for a Connected and Autonomous Future

  • 1. Planning for a Connected and Autonomous Future The 2017 D-STOP Symposium Natalia Ruiz Juri, Ph.D. February, 2017
  • 2. Planning & Models • Different types of models • Goal: Characterize & quantify the impacts of CAVs on traffic networks
  • 4. Starting Point Intended Outcome Final Outcome
  • 5. Looking at a single dimension of the problem may be misleading Good Very bad Speed
  • 6. Transportation Planning Process • How many people want to travel? • Where are they going? (and when) • What mode will they use? • What routes will they follow? Traffic patterns & conditions
  • 7. CAVs in the planning process: Trip Making Behavior • Number of trips – New travelers • Mode choice – Ride sourcing (?) • Destination choice • Life style choices – Residential location – Vehicle ownership: Adoption of CAVs www.newsela.com sharedusemobilitycenter.org
  • 8. CAVs in the planning process: System Performance • More effective ITS • Headway reduction • No control at intersections • Transition? fhwa.dot.gov Dr. Peter Stone The University of Texas at Austin
  • 9. CAVs in the planning process: Routing Behavior • Information availability and use • Path selection criteria • Routing paradigms
  • 10. The Path to Modeling CAVs • Interdisciplinary research • Community engagement • Data Safety Pilot Data: Trip Origins Safety Pilot Data: Routes for selected origin-destination pair