Planning for a Connected and Autonomous Future

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Center for Transportation Research - UT Austin

How do we prepare for the next 40 years? Do we need to worry about this now? What do we know about the timeline? We will explore what we know now and what we need to consider going forward. Presented at the 2017 D-STOP Symposium.

Technologie

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

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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

3. Why modeling? Transportation systems are complex

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

11. Thank You!

Planning for a Connected and Autonomous Future

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Planning for a Connected and Autonomous Future