Roundabout Connected/Automated Vehicle Active Inference Control Strategies to Improve Safety for All Users: Phase-1 [data management plan]

Morellas, Vassilios; Morris, Ted L.

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Roundabout Connected/Automated Vehicle Active Inference Control Strategies to Improve Safety for All Users: Phase-1 [data management plan]

2023-12-14
By Morellas, Vassilios ; Morris, Ted L.

File Language:

English

Details

Creators:

Morellas, Vassilios ; Morris, Ted L.
Corporate Creators:

Minnesota Robotics Institute (MnRI) ; University of Minnesota, Twin Cities. Gemini-Huntley Robotics Research Laboratory
Corporate Contributors:

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

Data Management Plan
Geographical Coverage:

United States
Edition:

Data Management Plan
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
Description:

The data collected will be produced from the project, "Roundabout Connected Automated Vehicle Active Inference Control Strategies to Improve Safety for All Users". The purpose of the project is to implement roadside sensing and autonomous connected vehicle architecture that will perceive and broadcast sensor state estimates of Vulnerable Road Users (VRUs) and Vehicle traffic within unsignalized, roundabout intersections. The proposed project is broken into two phases. Specifically, the first phase (e.g. Phase-I) focuses on developing and deploying roadside sensing infrastructure to perceive the VRU and vehicle-based traffic maneuvering and interacting within a typical urban roundabout design, and to then generate standardized messages (BSM) to accurately describe and broadcast the state estimates to connected/autonomous vehicles.
Format:

PDF
Funding:

69A3551747105
Download URL:

https://rosap.ntl.bts.gov/view/dot/94090/dot_94090_DS1.pdf
File Type:

[PDF - 278.78 KB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:6803860b6836b05c185eb208ed71d3c5bcbbd39f51ea46aa29ea8993a7d983b73a13f7c27ea43f7624904f563ebcc2a8e5152fcf980c4901138198e3784c513c

File Language:

English

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