Hellekes, Jens and Merkle, Nina Marie and López Díaz, María and Henry, Corentin and Heinrichs, Matthias and Azimi, Seyedmajid and Kurz, Franz (2021) Assimilation of parking space information derived from remote sensing data into a transport demand model. In: ITS World Congress 2021: Book of Abstracts, pp. 2579-2590. ITS World Congress 2021, 2021-10-11 - 2021-10-15, Hamburg, Deutschland.
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Abstract
Accurate data on parking spaces and their utilization is important for optimizing traffic management today and will become even more essential in light of upcoming ITS technologies and autonomous driving. For many cities, however, no comprehensive, standardized and up-to-date database exists. In this paper, we present a novel processing chain combining state-of-the-art remote sensing methods with geospatial analysis. Deep neural networks are used for vehicle detection and traffic area segmentation to identify all types of parking areas and their occupancy on aerial image sequences of the city of Brunswick in Germany. A discretization method is formulated to estimate parking capacity and a regression analysis is performed to draw conclusion for areas not covered by aerial imagery. By comparing the number of stopped vehicles with simulation results from a transport demand model, light can be shed on parking related traffic.
Item URL in elib: | https://elib.dlr.de/147964/ | ||||||||||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||||||||||
Title: | Assimilation of parking space information derived from remote sensing data into a transport demand model | ||||||||||||||||||||||||||||||||
Authors: |
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Date: | October 2021 | ||||||||||||||||||||||||||||||||
Journal or Publication Title: | ITS World Congress 2021: Book of Abstracts | ||||||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||||||||||||||
Page Range: | pp. 2579-2590 | ||||||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||||||
Keywords: | Deep Learning, Aerial Imagery, Image Segmentation, Vehicle Detection, Parking Space Management, OpenStreetMap, Geospatial Analysis, Travel Demand Model | ||||||||||||||||||||||||||||||||
Event Title: | ITS World Congress 2021 | ||||||||||||||||||||||||||||||||
Event Location: | Hamburg, Deutschland | ||||||||||||||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||||||||||||||
Event Start Date: | 11 October 2021 | ||||||||||||||||||||||||||||||||
Event End Date: | 15 October 2021 | ||||||||||||||||||||||||||||||||
Organizer: | ERTICO ITS Europe | ||||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||||
HGF - Program: | Transport | ||||||||||||||||||||||||||||||||
HGF - Program Themes: | Transport System | ||||||||||||||||||||||||||||||||
DLR - Research area: | Transport | ||||||||||||||||||||||||||||||||
DLR - Program: | V VS - Verkehrssystem | ||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | V - UrMo Digital (old) | ||||||||||||||||||||||||||||||||
Location: | Berlin-Adlershof , Oberpfaffenhofen | ||||||||||||||||||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > Photogrammetry and Image Analysis Institute of Transport Research > Mobility and Urban Development | ||||||||||||||||||||||||||||||||
Deposited By: | Hellekes, Jens | ||||||||||||||||||||||||||||||||
Deposited On: | 11 Jan 2022 09:52 | ||||||||||||||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:46 |
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