Infrastructure Enablers for Reliable Cooperative Driving Automation (CDA) Phase I: Existing Infrastructure Evaluation

Sargolzaei, Arman; Lin, Pei-Sung; Alemayehu, Hayleyesus; Okashita, Matthew; Li, Qianwen; Li, Yang; Li, Zheng; Liang, Zhaohui; Li, Hangyu; Li, Xiaopeng; Hadi, Mohammed; Mamun, Md Mahmud Hasan

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Infrastructure Enablers for Reliable Cooperative Driving Automation (CDA) Phase I: Existing Infrastructure Evaluation

2025-02-01
By Sargolzaei, Arman ; Lin, Pei-Sung ; Alemayehu, Hayleyesus

File Language:

English

Details

Creators:

Sargolzaei, Arman ; Lin, Pei-Sung ; Alemayehu, Hayleyesus ; Okashita, Matthew ; Li, Qianwen ; Li, Yang ; Li, Zheng ; Liang, Zhaohui ; Li, Hangyu ; Li, Xiaopeng ; Hadi, Mohammed ; Mamun, Md Mahmud Hasan
Corporate Creators:

University of South Florida ; University of Wisconsin--Madison ; Florida International University ; University of Georgia ; University of South Florida. Center for Urban Transportation Research
Contributor:

Chin, Ronald
Corporate Contributors:

Florida Department of Transportation
Subject/TRT Terms:
Publication/ Report Number:

BED25-977-09
Resource Type:

Tech Report
Geographical Coverage:

United States ; Florida
Edition:

Final Report: 9/9/2022-02/28/2025
Corporate Publisher:

Florida Department of Transportation
Description:

Connected and autonomous vehicles (CAVs) enhance transportation efficiency, reduce costs, and improve safety through cooperative driving automation (CDA), which enables communication and cooperation among vehicles, infrastructure, and road users. However, the existing infrastructure is designed for conventional vehicles and human drivers. The "Infrastructure Enablers for Reliable CDA" project addresses this challenge by evaluating the readiness of existing infrastructure. This Phase I report, "Infrastructure Enablers for Reliable CDA: Existing Infrastructure Evaluation," explores CDA sensing technologies, infrastructure features, platooning experiment design guidelines, and co-simulation for testing support.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/93275/dot_93275_DS1.pdf
File Type:

[PDF - 8.57 MB]
Collection(s):

Autonomous Vehicles
Main Document Checksum:

urn:sha-512:102c18be73de39a3235029083bd2947ea6dc6f00ba91fbd983656facc4e5235b2b795770544d43f2a8abdfe7368ad681f8633fb871470262aab561eefecb4605

File Language:

English

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