Investigation of Truck Data Collection using LiDAR Sensing Technology Along Rural Highways

Ritchie, Stephen G.; Tok, Andre; Li, Yiqiao; Sun, Jared; Allu, Koti R; METRANS Transportation Center (Calif.); Pacific Southwest Region 9 UTC, University of Southern California; University of California, Irvine

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Investigation of Truck Data Collection using LiDAR Sensing Technology Along Rural Highways

2021-09-01
By Ritchie, Stephen G. ; Tok, Andre ; Li, Yiqiao ; ...

[PDF-3.82 MB]

English

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Creators:

Ritchie, Stephen G. ; Tok, Andre ; Li, Yiqiao ; Sun, Jared ; Allu, Koti R

Ritchie, Stephen G. ; Tok, Andre ; Li, Yiqiao ; Sun, Jared ; Allu, Koti R Less -
Corporate Creators:

METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California ; University of California, Irvine

METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California ; University of California, Irvine Less -
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:

[+]

Autonomous Vehicles Connected Vehicles Data Collection Intelligent Transportation Systems Laser Radar Rural Highways Trucks
Publication/ Report Number:

PSR-19-51
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

METRANS Transportation Center (Calif.)
Abstract:

LiDAR is an emerging technology that can provide detailed point-cloud measurements of objects. The purpose of this study is to investigate the use of LiDAR technology for accurate classification of trucks according to the established FHWA scheme along rural highway corridors as an alternative to in-pavement detector infrastructure - such as inductive loop sensors and piezo-based automatic vehicle classifiers which is not widely deployed along many rural highway corridors - and temporary sensors such as pneumatic road tubes, which expose workers to live traffic. This research will also investigate anonymous tracking of trucks with LiDAR across two locations using advanced algorithms. This can be used to measure spatial activity and travel time performance of trucks along instrumented corridors.
Format:

PDF
Funding:

65A0674 TO 036
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:6949f8337d3d7f15cc198f431a49027a34c4cc3fca2950acdf72caed7e2d326d
Download URL:

https://rosap.ntl.bts.gov/view/dot/67947/dot_67947_DS1.pdf
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Investigation of Truck Data Collection using LiDAR Sensing Technology Along Rural Highways

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