Building Feedback into Modelling Impacts of Automated Vehicles: Developing a Consensus Model and Quantitative Tool

Rakoff, Hannah; Smith, Scott; Innamaa, Satu; Barnard, Yvonne; Harrison, Gillian; Shaw, Jingsi

i

Building Feedback into Modelling Impacts of Automated Vehicles: Developing a Consensus Model and Quantitative Tool

2020-04-28
By Rakoff, Hannah ; Smith, Scott ; Innamaa, Satu ; ...

File Language:

English

Details

Creators:

Rakoff, Hannah ; Smith, Scott ; Innamaa, Satu ; Barnard, Yvonne ; Harrison, Gillian ; Shaw, Jingsi
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.) ; VTT Technical Research Centre of Finland LTD ; University of Leeds. Institute for Transport Studies
Corporate Contributors:

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

Automated Vehicles Causal Loop Structures Feedback Forecasting System Dynamics Impact Assessment Impact Studies Intelligent Vehicles Scenario Planning
Publication/ Report Number:

DOT-VNTSC-FHWA-20-10
Resource Type:

Research Paper
Geographical Coverage:

United States;Finland;United Kingdom
Edition:

Conference paper; Apr- Oct 2019
Contracting Officer:

Kevin Dopart
Corporate Publisher:

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

System dynamics offers a rigorous approach to modelling the sometimes-surprising dynamics endogenous in complex systems and is ideal for gaining insight into potential impacts of automation in transport. Researchers from Europe and the U.S. are developing a consensus model, starting from an impact assessment framework presented at TRA 2018 and published shortly thereafter. This paper reports on a 2019 group model building workshop, which collated the intelligence of a diverse international group of modelling, transport and liveability/equity experts, focusing on socioeconomic impacts of highly automated vehicles, from household and public authority standpoints. Subsequent work developed a general framework from which detailed system dynamics models can be created for specific research questions. The ultimate goal is to develop a quantitative tool that can help planners and policy-makers understand how highly automated vehicles may fit within the transport system, and to begin to explore consequences of potential actions under various scenarios.
Format:

PDF
Funding:

51HW9EA400;51HW9EA500;DTFH61-17-V-00010;693JJ318N3000035
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha-512:0889caa90d1b570b5480f362e0493afa5037596882652e2097b636981f011e98c822e5a36e83af8a90f03ae2c74c67554a5d54078f6aa4a7631a38d12fb14fba
Download URL:

https://rosap.ntl.bts.gov/view/dot/48969/dot_48969_DS1.pdf
File Type:

[PDF - 408.84 KB ]

File Language:

English

ON THIS PAGE

Details

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.