Evaluating Resilience in Mixed-Autonomy

Joe-Wong, Carlee; Yagan, Osman; Qian, Sean

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Evaluating Resilience in Mixed-Autonomy

2022-01-01
By Joe-Wong, Carlee ; Yagan, Osman ; Qian, Sean

File Language:

English

Details

Creators:

Joe-Wong, Carlee ; Yagan, Osman ; Qian, Sean
Corporate Creators:

Mobility21, Carnegie Mellon University
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:

Autonomous Vehicles Policy Regulation Service Disruption Traffic Flow Vehicle Mix
Resource Type:

Tech Report
Geographical Coverage:

Pennsylvania;United States
Edition:

Final Research Report
Corporate Publisher:

Mobility21, Carnegie Mellon University
Abstract:

Future deployments of autonomous vehicles raise questions on how the actions of such vehicles may affect transportation systems as a whole, including the human-driven vehicles with which they share the road. The project team proposes to build a model of how autonomous vehicles can affect such mixed-autonomy systems and in particular their resilience to traffic disruptions. The project team will validate their results with simulations on Pittsburgh data and derive policy recommendations for autonomous vehicle regulations.
Format:

PDF
Funding:

69A3551747111
Collection(s):

University Transportation Centers Autonomous Vehicles
Main Document Checksum:

urn:sha-512:2c4ca4dab2938eb8151e07ff7ae2424c22977fee0cba766bf93097c3e30963ca97016dbae705d8ebfc857666a1bdca3c1fa0fa54924a7159622124953745f6fd
Download URL:

https://rosap.ntl.bts.gov/view/dot/63031/dot_63031_DS1.pdf
File Type:

[PDF - 822.21 KB ]

File Language:

English

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