Anticipating the regional impacts of connected and automated vehicle travel in Austin, Texas
Abstract
Automated vehicles are undergoing very rapid development and have potential to revolutionize the existing transportation system. This paper investigates the impacts of connected automated vehicles (CAVs) and shared automated vehicles (SAVs) using a conventional travel-demand model for the Austin, Texas, region. A series of eight test scenarios run in the year 2020 setting suggests that the introduction of CAVs and SAVs will add 20% or greater demand for new vehicle-kilometers traveled (VKT) to the six-county region’s roadway network. Relatively low values of travel time for passengers of automated vehicles and competitive pricing assumptions of SAV use result in greater demand for longer distance travel and reduced transit system use. Empty-vehicle travel for self-parking vehicles and SAVs will add to the network’s VKT, presumably increasing roadway congestion further, unless rides can be shared, traffic flows smoothed, and intervehicle headways tightened. The scenario simulations are sensitive to parking cost and vehicle operating cost assumptions. Policymakers, transportation planners, system operators, and designers may do well to simulate additional scenarios.
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Car-sharing systems are found to increase congestion.
“On one hand, car-sharing systems are found to increase congestion (Alam & Habib, 2018;Zhao & Kockelman, 2018)”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Zhao & Kockelman, 2018
Zhao & Kockelman (2018) validated around 45 pairs of hypothesized relationships in their survey of 507 participants.
“It captures behavioural antecedents, including latent socio-psychological and sociodemographic factors, to predict autonomous vehicle ownership and sharing, by validating around 45 pairs of hypothesized relationships.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Zhao & Kockelman (2018)
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- Authors
- Zhao, Y., & Kockelman, K. M.
- Affiliations
- Senior Transportation Planner, Strategic Consulting Division, Jacobs Engineering Group, 2705 Bee Cave Rd., Suite 300, Austin, TX 78746.
- The University of Texas at Austin (US)
- Corresponding author
- Kockelman, Kara M.
- Venue
- Journal of Urban Planning and Development
- Published
- 2018-12
- Volume
- 144
- Issue
- 4
- ISSN
- 0733-9488 (ISSN-L)
- 1943-5444
- OpenAlex
- W2884758455
- Cited by
- 95
- References
- 9
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 7 · 2023: 9 · 2022: 16 · 2021: 17 · 2020: 21 · 2019: 7 · 2018: 3 · 2017: 1
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Urban Planning and Development (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- connected and automated vehicles, shared automated vehicles, travel demand modeling, vehicle kilometers traveled, transit ridership, traffic congestion, parking costs, vehicle operating costs, scenario simulation, Austin, Texas
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