TY - JOUR
T1 - Quality abessment of segment based sensor data at motorways
AU - Haberl, Michael
AU - Hofinger, Felix
AU - Fellendorf, Martin
AU - Rosenkranz, Paul
AU - Zajicek, Jürgen
AU - Seebacher, Siegfried
AU - Lovric, Mario
AU - Tran, Han
AU - Partl, Christian
AU - Singh, Santokh
AU - Wenig, Robert
N1 - Publisher Copyright:
© 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2023
Y1 - 2023
N2 - Road Operators like the ASFINAG in Austria use the advantages of various sensor technologies to record traffic on the motorway network. As the existing cross-sectional sensors do have some shortcomings, ten novel 24 GHz radar sensors with ultra-high resolution 4D/UHD+ technology and inbuilt video camera were tested at the motorway network to answer the question whether they have the capability to add valuable information to the current status of traffic situation detection for enhancing traffic management. This kind of segment based sensor systems can provide cross-sectional traffic count data as well as trajectory data. Therefore, the main objective of this publication was to show and evaluate the sensor quality during field tests. This quality abessment builds the knowledge base for further adoptions of new radar sensors within the ASFINAG road network in the future.
AB - Road Operators like the ASFINAG in Austria use the advantages of various sensor technologies to record traffic on the motorway network. As the existing cross-sectional sensors do have some shortcomings, ten novel 24 GHz radar sensors with ultra-high resolution 4D/UHD+ technology and inbuilt video camera were tested at the motorway network to answer the question whether they have the capability to add valuable information to the current status of traffic situation detection for enhancing traffic management. This kind of segment based sensor systems can provide cross-sectional traffic count data as well as trajectory data. Therefore, the main objective of this publication was to show and evaluate the sensor quality during field tests. This quality abessment builds the knowledge base for further adoptions of new radar sensors within the ASFINAG road network in the future.
KW - Intelligent Transport Systems
KW - Real-time traffic information (RTTI) services
KW - Segment Based Sensor Data
KW - Traffic Radar Sensor Quality Abessment
KW - Traffic Sensor Analysis
KW - Trajectory Data Analysis
UR - http://www.scopus.com/inward/record.url?scp=85182934191&partnerID=8YFLogxK
U2 - 10.1016/j.trpro.2023.11.795
DO - 10.1016/j.trpro.2023.11.795
M3 - Conference article
AN - SCOPUS:85182934191
SN - 2352-1457
VL - 72
SP - 3316
EP - 3323
JO - Transportation Research Procedia
JF - Transportation Research Procedia
T2 - 2022 Conference Transport Research Arena
Y2 - 14 November 2022 through 17 November 2022
ER -