Benefit

Mobile LiDAR infrastructure inventory survey techniques are preferred by state DOTs where data quality and completeness are top priority.

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


Summary Information

This study presented the results of a national survey conducted to evaluate the following state DOT infrastructure inventory data collection techniques:

Aerial/Satellite Imagery - High resolution images are taken from aircraft or satellite to identify and extract highway inventory information.

Field Inventory - GPS survey equipment and conventional optical are sued to collect desired information in the field.

Photo/Video Log - Instrumented vehicles automatically record photo/video data that can be examined later to extract information.

Integrated GPS/GIS Mapping - An integrated GPS/GIS field data logger is used to record and store inventory information.

Mobile LiDAR - Instrumented vehicles collect 3-D precision point information using LiDAR systems traveling at highway speeds.

Airborne LiDAR - Instrumented aircraft collect 3-D precision point information using LiDAR systems to derive highway inventory data.

METHODOLOGY

Survey respondents were requested to indicate their level of satisfaction with their primary collection method using a scale of 1 to 5 (representing unacceptable, fair, good, very good, and excellent, respectively) where one is worst and five is the best with regard to cost, time, accuracy, safety, and data storage requirements.

The satisfaction indicators considered in the survey included equipment cost, data accuracy, data completeness, crew hazard exposure, data collection cost, data collection time, data reduction cost, data reduction time, and data storage requirement.

FINDINGS

Findings were based on data collected from 30 respondent state DOTs. More than 50 percent of responding states use field inventory, integrated GPS/GIS mapping, video log, and aerial imagery for collecting roadside feature data. Satisfaction levels with their primary data collection method are shown below.

Satisfaction Factors
Satellite Imagery
Photo log
Aerial Imagery
Field Inventory
Video log
Integrated GPS/GIS Map
Mobile LiDAR
Airborne LiDAR
Equipment Cost
3.1
3
3.1
3.1
3.1
2.9
2
2.5
Data Accuracy
3.3
3.5
3.6
3.5
3.4
3.8
3
3
Data Completeness
3.2
3.3
3.3
3.4
3.3
3.3
3.4
2.8
Crew Hazard Exposure
3.2
3.4
2.9
2.9
2.9
3
2.5
3
Data Collection Cost
3.2
2.9
3
2.8
3
2.8
2.5
2.5
Data Collection Time
3.2
2.8
2.9
2.8
2.8
2.7
2.6
2
Data Reduction Time
2.8
3.1
2.9
3.1
2.8
2.9
2
2
Data Reduction Cost
3.2
3.1
2.9
2.7
2.8
2.8
2.5
2
Data Storage Requirement
3.2
3.5
3.4
3.3
3.1
3.3
3
3.4

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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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Typical Deployment Locations

Statewide

Keywords

None defined

Benefit ID: 2018-01288