The Development of the Digital Twin Platform for Smart Mobility Systems With High-Resolution 3D Data

Jin, Peter J.; Wang, Yizhou; Zhang, Tianya; Ge, Yi; Gong, Jie; Chen, Anjiang; Ahmad, Noshin S; Geng, Bowen

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The Development of the Digital Twin Platform for Smart Mobility Systems With High-Resolution 3D Data

2021-12-01
By Jin, Peter J. ; Wang, Yizhou ; Zhang, Tianya

File Language:

English

Details

Creators:

Jin, Peter J. ; Wang, Yizhou ; Zhang, Tianya ; Ge, Yi ; Gong, Jie ; Chen, Anjiang ; Ahmad, Noshin S ; Geng, Bowen
Corporate Creators:

Rutgers University. Center for Advanced Infrastructure and Transportation ; Middlesex County
Contributors:

Caviness, Solomon
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Federal Highway Administration ; New Jersey Department of Transportation
Subject/TRT Terms:
Publication/ Report Number:

CAIT-UTC-REG45
Resource Type:

Tech Report
Geographical Coverage:

United States;New Jersey
Edition:

Final Report 12/2020-11/2021
Corporate Publisher:

Rutgers University. Center for Advanced Infrastructure and Transportation
Abstract:

This project develops the main modules and algorithm models for the digital twin platform for a smart mobility testing ground currently under construction. LiDAR (Line Detection And Ranging)-sensor-based object detection and 3D infrastructure modeling modules are developed and tested in the project. The developed digital twin model is pilot tested to conduct near-miss analysis at the intersections of the DataCity Smart Mobility Testing Ground in New Brunswick, NJ.
Format:

PDF
Funding:

69A3551847102
Download URL:

https://rosap.ntl.bts.gov/view/dot/65806/dot_65806_DS1.pdf
File Type:

[PDF - 2.07 MB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:6cfdebca9d5f6063b20e3b101bd74bb2ca02649d008fb19367c537a1c5adc961414ce8b14885804a05682168bf9abe0778157f2a8827f1d813b5fe3c1813587f

File Language:

English

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