Digital Twin Technologies Towards Understanding the Interactions Between Transportation and Other Civil Infrastructure Systems: Phase 2— Vehicle Detection and Tracking on Edge Device Document

Ke, Ruimin; Weidner, Jeffrey; Raheem, Adeeba; Cheu, Ruey Long; Connected Communities for Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER) Tier-1 University Transportation Center (UTC)

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Digital Twin Technologies Towards Understanding the Interactions Between Transportation and Other Civil Infrastructure Systems: Phase 2— Vehicle Detection and Tracking on Edge Device Document

2023-06-01
Datasets Available
By Ke, Ruimin ; Weidner, Jeffrey ; Raheem, Adeeba ; ...

[PDF-530.66 KB]

English

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Details:

Creators:

Ke, Ruimin ; Weidner, Jeffrey ; Raheem, Adeeba ; Cheu, Ruey Long

Ke, Ruimin ; Weidner, Jeffrey ; Raheem, Adeeba ; Cheu, Ruey Long Less -
Corporate Creators:

Connected Communities for Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER) Tier-1 University Transportation Center (UTC)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Automatic Vehicle Detection And Identification Systems Civil Engineering Conceptual Models Infrastructure Laboratories Prototypes Simulation Virtual Reality
Resource Type:

Other
Geographical Coverage:

United States
Corporate Publisher:

Connected Communities for Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER) Tier-1 University Transportation Center (UTC)
Abstract:

Document describing sensors and sensor algorithms relating to the implementation process of the project’s detection technology. The purpose of this project is to place edge computing devices Jetson Xavier NX and cameras on the fourth and fifth floors of the Schuster Garage on the UTEP campus, then use Yolov5 [3] and DeepSORT [4] to complete object detection and tracking tasks at the roundabout near the UTEP campus and get real-time traffic flow information in all directions including the trajectory of each vehicle.
Format:

PDF
Funding:

69A3551747124
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:dcbb1416bd1a517591015899f393d037d7771bba26f5f7f00485acda1d5297eb
Download URL:

https://rosap.ntl.bts.gov/view/dot/72469/dot_72469_DS1.pdf
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No Additional Files

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Digital Twin Technologies Towards Understanding the Interactions Between Transportation and Other Civil Infrastructure Systems: Phase 2— Vehicle Detection and Tracking on Edge Device Document

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