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Improving the Annual Average Daily Road Traffic Estimation by using Multitemporal High Resolution Aerial Imagery

Hellekes, Jens (2021) Improving the Annual Average Daily Road Traffic Estimation by using Multitemporal High Resolution Aerial Imagery. In: Seminar Proceedings of the 10th Young Researchers Seminar, pp. 93-99. University of Ljubljana, Faculty of Maritime Studies and Transport. 10th Young Researchers Seminar, 15.-17. Sep. 2021, Portorož, Slowenien. ISBN 978-961-7041-09-5.

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Official URL: https://yrs.sdzp.org/wp/wp-content/uploads/2021/09/YRS2021-Proceedings.pdf

Abstract

The annual average daily traffic (AADT) is a key indicator for describing transport development and an essential parameter for traffic engineering and transportation planning. Commonly, the AADT is collected by permanent counting stations on selected sections of the major road network and supplemented by temporary counts at multi-annual intervals. Because of the high expenditures for construction and maintenance, dense networks of counting stations are rarely established which leads to uncertainties about the spatial and temporal distribution of vehicle volumes. Remote sensing data can be part of the solution as it can be acquired flexibly and over large areas. This paper utilizes aerial image sequences to capture traffic density as well as vehicle speeds to determine the traffic flow on motorway and federal road segments. The instantaneous observations at different days and times are extrapolated to the AADT using time series from reference counting stations in the study area of Braunschweig (Germany). Discrepancies of up to 11 % between estimated and measured AADT are found at three of five metering sections. For the remaining sections, this paper elaborates why limits of the approach are reached here. The presented method is particularly suitable for motorway sections where no or only insufficient data are available.

Item URL in elib:https://elib.dlr.de/145014/
Document Type:Conference or Workshop Item (Speech)
Title:Improving the Annual Average Daily Road Traffic Estimation by using Multitemporal High Resolution Aerial Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hellekes, JensJens.Hellekes (at) dlr.dehttps://orcid.org/0000-0002-0080-3124
Date:2021
Journal or Publication Title:Seminar Proceedings of the 10th Young Researchers Seminar
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 93-99
Editors:
EditorsEmailEditor's ORCID iD
Zanne, MarinaUniversity of Ljubljana, Faculty of Maritime Studies and Transporthttps://orcid.org/0000-0001-7288-670X
Bajec, PatricijaUniversity of Ljubljana, Faculty of Maritime Studies and Transporthttps://orcid.org/0000-0003-1511-1064
Twrdy, ElenUniversity of Ljubljana, Faculty of Maritime Studies and Transporthttps://orcid.org/0000-0002-7937-3162
Publisher:University of Ljubljana, Faculty of Maritime Studies and Transport
ISBN:978-961-7041-09-5
Status:Published
Keywords:Traffic Monitoring, Vehicle Trajectories, Traffic Flow, AADT, Remote Sensing, Aerial Image Sequences
Event Title:10th Young Researchers Seminar
Event Location:Portorož, Slowenien
Event Type:Workshop
Event Dates:15.-17. Sep. 2021
Organizer:ECTRI, FEHRL, FERSI and University of Ljubljana, Faculty of Maritime Studies and Transport
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V - no assignment
DLR - Research theme (Project):V - no assignment
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Hellekes, Jens
Deposited On:02 Nov 2021 12:18
Last Modified:03 Nov 2021 14:34

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