Planning for a Connected and Autonomous Future

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.

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

Tom Williams, program managers for TTI's Travel Forecasting Group, gave this presentation on a current research project at the 2016 Smart Transport Symposium held in Austin, Texas. This research explores the transportation planning implications of automated and connected vehicles (AV/CV) on Texas highways and includes an in-depth study of how travel modeling can assist in planning for AV/CV. The research team assessed how these potentially transformative technologies can be included in transportation planning to assist in the decision making process. The research team also defined AV/CV implementation along various scales of vehicle technology advancement, public acceptance and adoption, and infrastructure implementation. For more information on TxDOT project 0-6848 visit: http://library.ctr.utexas.edu/Presto/content/Detail.aspx?q=MC02ODQ4&ctID=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&rID=MzQ4&qcf=&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&

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