Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic

Xu, Hao; Zhao, Junxuan; Liu, Hongchao; Tian, Zong; Cardillo, Carlos; Schilling, Fraser; University of Nevada, Reno. Department of Civil and Environmental Engineering; Texas Tech University. Department of Civil, Environmental, and Construction Engineering; University of California, Davis. Road Ecology Center

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic

2022-05-30
By Xu, Hao ; Zhao, Junxuan ; Liu, Hongchao ; ...

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Creators:

Xu, Hao ; Zhao, Junxuan ; Liu, Hongchao ; Tian, Zong ; Cardillo, Carlos ; ... More +

Xu, Hao ; Zhao, Junxuan ; Liu, Hongchao ; Tian, Zong ; Cardillo, Carlos ; Schilling, Fraser Less -
Corporate Creators:

University of Nevada, Reno. Department of Civil and Environmental Engineering ; Texas Tech University. Department of Civil, Environmental, and Construction Engineering ; University of California, Davis. Road Ecology Center

University of Nevada, Reno. Department of Civil and Environmental Engineering ; Texas Tech University. Department of Civil, Environmental, and Construction Engineering ; University of California, Davis. Road Ecology Center Less -
Corporate Contributors:

Nevada. Department of Transportation
Subject/TRT Terms:

[+]

Laser Radar Sensors Traffic Flow Traffic Surveillance Vehicle Detectors Vehicle Mix
Publication/ Report Number:

744-18-803
Resource Type:

Tech Report
Geographical Coverage:

Nevada ; United States

Nevada ; United States Less -
Edition:

Final Report, Feb 2019-Apr 2022
Corporate Publisher:

Nevada. Dept. of Transportation
Abstract:

Based on the project team's multiple years of research, deployment, and engineering application expertise, this project evaluated the accuracy, reliability, and efficiency of roadside LiDAR sensing and explored various traffic scenarios and applications of roadside LiDAR sensors. This project evaluated the accuracy, reliability, and efficiency of roadside LiDAR sensing and explored various traffic scenarios and applications of roadside LiDAR sensors. The project report provides examples, case studies, and evaluations of these applications.
Format:

PDF
Funding:

P744-18-803
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:519a5c348b51caa691dd449a790fc26ae569040a1785202b7cfbf58cf1ea434f
Download URL:

https://rosap.ntl.bts.gov/view/dot/64358/dot_64358_DS1.pdf
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Proof-of-Concept Research of Roadside LiDAR Sensing Multimodal Traffic

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