Segmenting, Grouping and Tracking Vehicles in LIDAR Data

Coifman, Benjamin; Wu, Mo; Redmill, Keith; Thornton, Douglas A; Ohio State University. Dept. of Civil and Environmental Engineering and Geodetic Science

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Segmenting, Grouping and Tracking Vehicles in LIDAR Data

2016-01-01
By Coifman, Benjamin ; Wu, Mo ; Redmill, Keith ; ...

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English

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Details:

Creators:

Coifman, Benjamin ; Wu, Mo ; Redmill, Keith ; Thornton, Douglas A

Coifman, Benjamin ; Wu, Mo ; Redmill, Keith ; Thornton, Douglas A Less -
Corporate Creators:

Ohio State University. Dept. of Civil and Environmental Engineering and Geodetic Science
Subject/TRT Terms:

[+]

Car Following Models Data Reduction Laser Radar Microscopic Traffic Data Probe Vehicles Research Hub Traffic Flow Theory
Publication/ Report Number:

NEXTRANS Project No. 124OSUY2.1
Resource Type:

Tech Report
Geographical Coverage:

North America
Corporate Publisher:

Nextrans ; United States. Dept. of Transportation. Research and Innovative Technology Administration

Nextrans ; United States. Dept. of Transportation. Research and Innovative Technology Administration Less -
Abstract:

This report presents the methodology and results from a study to extract empirical microscopic vehicular interactions from an instrumented probe vehicle. The contributions of this work are twofold: first, the general method and approach to seek a cost-effective balance between automation and manual data reduction that transcends the specific application; and second, the resulting empirical data set is intended to help advance traffic flow theory in general and car following models in particular. Section 1 provides an introduction and reviews the history of empirical freeway traffic flow studies to place the work in context. Section 2 presents the methodology, starting with a review of the instrumentation on the probe vehicle and the route taken by the probe vehicle, then continuing into the process of extracting information from the raw data. Section 3 presents the results. The report closes in Section 4 with conclusions and a discussion of the limitations.
Format:

PDF
Funding:

DTRT12-G-UTC05
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:944705d9631e54ba222366dc56f260ee15244211c379a9bda67b04e2a0ba227b
Download URL:

https://rosap.ntl.bts.gov/view/dot/35524/dot_35524_DS1.pdf
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Segmenting, Grouping and Tracking Vehicles in LIDAR Data

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