How accurate are small drones for measuring microscopic traffic parameters?

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU135358" target="_blank" >RIV/00216305:26230/17:PU135358 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1080/19427867.2017.1354433" target="_blank" >http://dx.doi.org/10.1080/19427867.2017.1354433</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/19427867.2017.1354433" target="_blank" >10.1080/19427867.2017.1354433</a>

Result language

angličtina

Original language name

How accurate are small drones for measuring microscopic traffic parameters?

Original language description

Small Unmanned Aerial Vehicles (sUAV or drones) have been one of the latest tools for monitoring transportation infrastructure and operations. Their lower cost compared to current fixed location camera systems or Manned Aerial Vehicles and their ability to read just their view area depending on the situation they face, make them a promising tool of collecting both macroscopic and microscopic data. However, although drone technology and computer vision techniques are advancing fast, there is little information on how accurate and reliable they are for collecting microscopic traffic data. In this paper, we examine the potential of using sUAV as part of the ITS infrastructure as a way of extracting naturalistic trajectory data from aerial video footage from a low volume four-way intersection and a pedestrian passage. Moreover, the accuracy of speed data collected from a drone compared to data collected from an On-Board Diagnostics II (OBD-II) device is examined. For this, a controlled experiment where the vehicle was driven in various speeds and the drone flew in ranging altitudes was conducted. Results show that accuracy is highly dependent on the stabilization of the video and the geo-reference procedure. Moreover, the capabilities of such systems are examined in traffic applications and the way they can be part of future transportation infrastructure is discussed.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Transportation Letters

ISSN

1942-7867

e-ISSN

1942-7875

Volume of the periodical

9

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

1-9

UT code for WoS article

000474595200005

EID of the result in the Scopus database

2-s2.0-85026517394