Lesson

LiDAR scanning systems collect huge amounts of geospatial data in a very short time; plan for major data reduction efforts that require intensive computing, software development, and technical expertise.

A review of highway inventory data collection methods vital to the implementation of the Highway Safety Manual (HSM) at the state level.


2014
Nationwide,United States


Background (Show)

Lesson Learned

The results demonstrated that mobile LiDAR has the highest overall score when data completeness and data quality are considered a top priority. This method is capable of collecting a large amount of geospatial data in a very short time, however, data reduction efforts will be a major undertaking. Processing data and accurately identifying the shape, position, and function of roadway features will require intensive computing, software development, and technical expertise.


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Source

A Comprehensive Assessment of Highway Inventory Data Collection Methods

Author: Jalayer; Mohammad; Huaguo Zhou; Jie Gong; ShunFu Hu; and Mark Grinter

Published By: Journal of the Transportation Research Forum

Source Date: 2014

Other Reference Number: Vol. 53, No. 2 (Summer 2014), pp. 73-92

URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.663.8923&rep=rep1&type=pdf

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Mike Mercer
Noblis
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michael.mercer@noblis.org


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Lesson ID: 2018-00830