Emerging Approaches to Autonomous Vehicles in Transportation Policy and Planning

Miller, Thaddeus; Pendyala, Ram M.; McAslan, Devon; Gabriele, Max

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Emerging Approaches to Autonomous Vehicles in Transportation Policy and Planning

2020-09-01
By Miller, Thaddeus ; Pendyala, Ram M. ; McAslan, Devon

File Language:

English

Details

Creators:

Miller, Thaddeus ; Pendyala, Ram M. ; McAslan, Devon ; Gabriele, Max
Corporate Creators:

Center for Teaching Old Models New Tricks (TOMNET) ; Arizona State University. School of Sustainable Engineering and the Built Environment
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Research Report (2019 – 2020)
Corporate Publisher:

Center for Teaching Old Models New Tricks (TOMNET)
Description:

Autonomous vehicles (AVs) are rapidly emerging in United States cities, leaving urban and regional planning institutions unsure how to plan and develop policies. This paper analyzes how regional transportation plans (RTPs) developed by metropolitan planning organizations (MPOs) are approaching the risks and opportunities presented by AVs. Among 52 MPOs, a majority only mention key issues and emphasize high levels of uncertainty. Twelve MPOs develop policies on infrastructure, safety, partnerships, data-sharing, and multimodal transportation. Despite a positive trend, many recently adopted RTPs do not incorporate AVs. To plan for uncertain mobility futures, MPOs must develop more flexible approaches to long-term infrastructure investment.
Format:

PDF
Funding:

69A3551747116
Download URL:

https://rosap.ntl.bts.gov/view/dot/74102/dot_74102_DS1.pdf
File Type:

[PDF - 459.84 KB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:6c222864a901871bacc3336247c53e60347952ea19daeb7487f82b4af5406cc533d4d415159acf10b3ce2dc17147158238d8a990fee806f94689121599a0d144

File Language:

English

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