Automated Vehicle Impacts on the Transportation System: Using System Dynamics to Assess Regional Impacts

Smith, Scott; Berg, Ian; Eilbert, Andrew; Rakoff, Hannah; Shaw, Jingsi; Stanford, Joseph

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Automated Vehicle Impacts on the Transportation System: Using System Dynamics to Assess Regional Impacts

2021-03-31
By Smith, Scott ; Berg, Ian ; Eilbert, Andrew

File Language:

English

Details

Creators:

Smith, Scott ; Berg, Ian ; Eilbert, Andrew ; Rakoff, Hannah ; Shaw, Jingsi ; Stanford, Joseph
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
Subject/TRT Terms:
Publication/ Report Number:

DOT-VNTSC-FHWA-21-05;FHWA-JPO-21-849
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final report; Mar 2020- Mar 2021
Contracting Officer:

Kevin Dopart
Corporate Publisher:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (ITS JPO)
Abstract:

Many of today’s transportation planning tools break down under conditions of deep uncertainty. One example of such an uncertainty is how and when automated vehicles might be adopted in the surface transportation system, their performance capabilities, and user response. System dynamics (SD) techniques focus on causal relationships, and are ideal for gaining insight into the impacts of large changes in the transportation system. In 2020, the Volpe Center worked with two groups of public-sector organizations, including several Metropolitan Planning Organizations (MPO) and one State Department of Transportation (DOT), to see how SD techniques may be applied to problems of interest to them. Outputs of this effort included causal-loop diagrams (CLDs) and the resulting insights. The MPO partners found the CLDs useful as a discussion tool, to bring planners and modelers together. The SD models also helped to reveal data and modeling gaps in current travel demand models.
Format:

PDF
Funding:

693JJ319N300064;HW9EA619
Download URL:

https://rosap.ntl.bts.gov/view/dot/55247/dot_55247_DS1.pdf
File Type:

[PDF - 924.08 KB]
Collection(s):

Volpe Center ; ITSJPO Digital Library
Main Document Checksum:

urn:sha-512:b16c9702415c79a2ba4e7c261b69a701b4b4a06a123b2972c2c319776364bfb336522a09d494f1904a305875eb3798a0c3b8c2d6c0392196f5d30aef24dca451

File Language:

English

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