Mobility & Transport Analytics

Hula, Andreas; Dirnwöber, Martin; Ladstätter, Stefan; Schaub, Andrea; Luley, Patrick; Tötzl, Daniel; Wittmann, Stephan; Schallauer, Dominik; Erdelean, Isabela; Rehrl, Karl; Frötscher, Alexander; Monschiebl, Bernhard; Prändl-Zika, Veronika (2024): Physical and Digital Infrastructure (PDI) Support for Automated Vehicles – Case Studies in Austria In: Cornet, H., Gkemou, M. (eds) Shared Mobility Revolution. Lecture Notes in Mobility.
Hannah Wies, Moritz Beeking, Karl Rehrl (2024): Interactive visualizations for assessing car-to-bicycle overtaking manoeuvres In: Abstr. Int. Cartogr. Assoc., 7, 186
Christian Odenwald, Moritz Beeking (2024): SaBi3d – A LiDAR Point Cloud Data Set of Car-to-Bicycle Overtaking Maneuvers. In: Data 2024, 9(8), 90.
Sven Leitinger, Hannah Wies, Martin Loidl, Christian Werner, Jochen Eckart, Michael Fath, Carsten Hagedorn, Rebecca Hunziker, Lena Ruegge, Michael Szeiler, Mark Richter, Marlene Mellauner, Maria Fleischer (2024): RADBEST: Radverkehrsführung bei beengten Straßenverhältnissen. Ein Projekt finanziert im Rahmen der D-A-CH Kooperation, Verkehrsinfrastrukturforschung 2022, D-A-CH 2022, Endbericht Juni 2024.
Armin Niedermüller, Moritz Beeking (2024): Transformer based 3D semantic segmentation of urban bicycle infrastructure In: Journal of Location Based Services
M. Beeking, H. Wies, M. Steinmaßl, K. Rehrl (2023): How Smooth is Your Ride? A Comparison of Sensors and Methods for Surface Quality Assessment In: International Cycling Safety Conference
M. Thelen, C. Luger-Bazinger, E. Hollauf, H. Atasayar, C. Zankl, V. Hornung-Prähauser (2023): Perceptions and Attitudes of Bicyclists towards Self-driving Cars A Mixed Methods Approach In: International Cycling Safety Conference
M. Steinmaßl, M. Berrazouane and K. Rehrl (2023): On the Impact of Classification Quality of Multiple Object Tracking Systems on Analysing the Path Choice Behaviour of Multimodal Traffic. In: Proceedings of the18thInternational Conference on LocationBased Services, Ghent, 2023.
Claudia Luger-Bazinger, Eva Hollauf, Hatun Atasayar, Cornelia Zankl, Veronika Hornung-Prähauser (2023): Perceptions and attitudes of bicyclists towards self-driving cars: a mixed methods approach In: Frontiers in Future Transportation
Moritz Beeking, Markus Steinmaßl, Melanie Urban, Karl Rehrl (2023): Sparse Data Traffic Speed Prediction on a Road Network With Varying Speed Levels In: Transportation Research Record
Wies, H. and Beeking, M. (2022): Self-Localization Accuracy of Instrumented Probe Bicycles. In: Krisp, J., Meng, L., Kumke, H. and Huang, H. (eds.): Proceedings 17th International Conference on Location Based Services (LBS2022), Munich / Augsburg, Germany, September 12-14.
Karl Rehrl, Simon Gröchnig, Thomas Piribauer, Roland Spielhofer, Patrick Weissensteiner (2022): Towards a standardized workflow for creating high-definition maps for highly automated shuttles In: Journal of Location Based Services
Stefan Kranzinger and Markus Steinmaßl (2021): Which Aggregation Fits Best? In: Transportation Research Record: Journal of the Transportation Research Board.
Simon Gröchenig, Karl Rehrl (2021): Towards C-ITS-based communication between bicycles and automated vehicles. In: Proceedings of the 16th International Conference on Location Based Services (LBS 2021)
Claudia Luger-Bazinger, Cornelia Zankl, Karin Klieber, Veronika Hornung-Prähauser, Karl Rehrl (2021): Factors Influencing and Contributing to Perceived Safety of Passengers during Driverless Shuttle Rides. In: Future Transportation. 2021; 1(3):657-671.
Karl Rehrl, Simon Gröchenig (2021): Evaluating Localization Accuracy of Automated Driving Systems. In: Sensors. 2021; 21(17):5855.
Markus Steinmaßl, Stefan Kranzinger, Karl Rehrl (2021): Analyzing Travel Time Reliability from Sparse Probe Vehicle Data. A Case Study on the Effects of Spatial and Temporal Aggregation. In: Transportation Research Record: Journal of the Transportation Research Board
Patrick Weissensteiner, Georg Stettinger, Karin Trieber, Karl Rehrl (2021): Virtual Risk Assessment for the Deployment of Autonomous Shuttles. In: Transportation Research Record: Journal of the Transportation Research Board.
Sebastian Will, Claudia Luger-Bazinger, Marcus Schmitt und Cornelia Zankl (2021): Towards the Future of Sustainable Mobility: Results from a European Survey on (Electric) Powered-Two Wheelers. In: Sustainability 2021, 13, 7151.
Stefan Kranzinger und Sven Leitinger (2021): Eine Bestimmung der Oberflächenqualität von Fahrradinfrastruktur durch Smartphone-Beschleunigungsdaten mithilfe des k-means++-Algorithmus In: AGIT ‒ Journal für Angewandte Geoinformatik, 7-2021, S. 104-116.
Karl Rehrl, Thomas Piribauer, Klemens Schwieger, Norbert Sedlacek, Patrick Weissensteiner (2020): Towards a uniform process model for deploying and operating autonomous shuttles on public roads In: Virtual ITS European Congress
Karl Rehrl, Stefan Kranzinger, Markus Steinmaßl, Michael Wimmer (2020): Live Dabei – Echtzeit-Verkehrsdaten erfassung als Grundlage für ein effektives Verkehrsmanagement In: Zagel, Bernhard; Loidl, Martin (Hrsg.) Geo-IT in Mobilität und Verkehr Geoinformatik als Grundlage für moderne Verkehrsplanung und Mobilitätsmanagement. VDE Verlag.
Leitinger, S., Wagner, A., & Kremser, W. (2020): Erfahrungen bei der Umsetzung eines Datenmanagementplans für räumliche Daten des Radverkehrs. In: AGIT ‒ Journal für Angewandte Geoinformatik, 6-2020, 255–262.
Loidl, M.; Wagner, A.; Kaziyeva, D.; Zagel, B. (2020): Bicycle Observatory – eine räumlich differenzierte, kontinuierliche Beobachtung der Fahrradmobilität In: AGIT ‒ Journal für Angewandte Geoinformatik, 6-2020, S. 263-271.
Rehrl, K., Kranzinger, S., & Gröchenig, S. (2020): Which quality is a route? A methodology for assessing route quality using spatio‐temporal metrics. In: Transactions in GIS. 2020; 00: 1– 28.
Karl Rehrl, Simon Gröchenig, Stefan Kranzinger (2020): Why did a vehicle stop? A methodology for detection and classification of stops in vehicle trajectories In: International Journal of Geographical Information Science, 34:10, 1953-1979
W. Kremser and R. Brunauer (2019): Do we have a Data Culture? In: Data Science – Analytics and Applications, Wiesbaden: Springer Fachmedien Wiesbaden, 2019, pp. 83–87.
Nina Schmitzberger, Cornelia Zankl (2019): BürgerInnen Dialog Automatisierte Mobilität in Salzburg Ergebnisbericht, Salzburg Research.
Brunauer, R., Schmitzberger, N., Rehrl, K. (2018): Recognizing Spatio-Temporal Traffic Patterns at Intersections Using Self-Organizing Maps. In: Proc. of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science, Seattle, pp. 43–52.
Rehrl, K. & Zankl, C. (2018): Digibus©: results from the first self-driving shuttle trial on a public road in Austria. European Transport Research Review, 10(2), p.51.
Rehrl, K., Gröchenig, S. & Wimmer, M. (2018): Optimization and Evaluation of a High Performance Open-Source Map-Matching Implementation. In: Geospatial Technologies for All - Selected Papers of the 21st AGILE Conference on Geographic Information Science (pp 251-270). Springer International Publishing.
Richard Brunauer, Karl Rehrl, Wolfgang Kremser, & Rene Moser (2018): CarSense: Evaluation of the Potential of In-Vehicle Sensor Data for Road Operators. Paper at the 7th Transport Research Arena TRA 2018 (TRA 2018), Vienna, 16-19 April 2018. Zenodo.
Rehrl, K. (2017): Erste Erfahrungen mit einem selbstfahrenden Minibus In: FSV-Schriftenreihe Heft Nr. 017 "Automatisiertes Fahren" – Heft November 2017
Füssl, E., Hartwig, L., Bell, D., Brocza, U., Leitinger, S., Brunauer, R., Lorenz, F., Loidl, M. (2017): Naturalistic cycling data as a base for awareness raising In: Book of abstracts, International Co-operation on Theories and Concepts in Traffic Safety, 30th Workshop, 26-27 October 2017, Olomouc
Richard Brunauer, Stefan Henneberger and Karl Rehrl (2017): Network-Wide Link Flow Estimation Through Probe Vehicle Data Supported Count Propagation. In: Proc. of the 20th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2017), Yokohama, Japan. Ausgezeichnet mit dem Best Paper Award.
Schneider, C., Gröchenig, S., Venek, V., Leitner, M., Reich, S. (2017): A framework for evaluating stay detection approaches In: International Journal of Geo-Information. Wissenserwerb als Teil der „Produktionsumgebung Wissensmanagement“ der ÖV
Rehrl, K., Brunauer, R., Gröchenig, S., & Lugstein, E. (2017): Generation of Meaningful Location References for Referencing Traffic Information to Road Networks Using Qualitative Spatial Concepts. In: G. Gartner & H. Huang (Eds.), Progress in Location-Based Services 2016 (pp. 173–191). Springer International Publishing.
Sven Leitinger, Martin Loidl, Elisabeth Füssl, Florian Lorenz, Ulrike Brocza (2016): Principles and Study Design of the First Austrian Naturalistic Cycling Study BIKEALYZE. In: Book of Abstracts, International Cycling Safety Conference, 2-4 November, Bologna, Italy
Brunauer, R., Rehrl, K. (2016): Supporting Road Maintenance with In-Vehicle Data – Results from a Field Trial on Road Surface Condition Monitoring In: Proc. of the 19th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2016), Rio de Janeiro.
Schneider, Cornelia, Sebastian Zutz, Karl Rehrl, Richard Brunauer, and Simon Gröchenig (2016): Evaluating GPS Sampling Rates for Pedestrian Assistant Systems Journal of Location Based Services 9725 (November). Taylor & Francis: 1–28. doi:10.1080/17489725.2016.1259509
Ranacher, P., Brunauer, R., Van der Spek, S., Reich, S. (2016): A model to estimate and interpret the energy-efficiency of movement patterns in urban road traffic In: International Journal of Computers Environment and Urban Systems (CEUS), 59, pp. 152-163.
Rehrl, K., Brunauer, R., Gröchenig, S. (2016): Collecting Floating Car Data with Smartphones: Results from a Field Trial in Austria. In: Journal of Location Based Services 2016, 10, 16–30.
Rehrl, K.; Gröchenig, S.; (2016): A Framework for Data-Centric Analysis of Mapping Activity in the Context of Volunteered Geographic Information. In: ISPRS Int. J. Geo-Inf. 2016, 5, 37.
Ranacher, P., Brunauer, R., Van der Spek, S., Reich, S. (2016): What is an Appropriate Temporal Sampling Rate to Record Floating Car Data with a GPS? In: In: International Journal of Geo-Information 5(1)
Gröchenig, Simon, and Cornelia Schneider (2016): A Cookie-Cutter Approach for Determining Places and Stays from Movement Data GI_Forum 1: 53–64. doi:10.1553/giscience2016_01_s53.
Ranacher, P., Brunauer, R., Van der Spek, S., Reich, S. (2015): What is an appropriate sampling rate to record floating car data with a GPS? In: International Journal of Geographical Information Science.
Brunauer, R., Rehrl, K. (2015): Big Data in der Mobilität – FCD Modellregion Salzburg. In: HMD Big Data.
(): Collecting Floating Car Data with Smartphones: Results from a Field Trial in Austria.
Ranacher, P., Brunauer, R., Trutschnig, W., Van der Spek, S., Reich, S. (2015): Why GPS makes distances bigger than they are. In: International Journal of Geographical Information Science, 09/2015.
Rehrl, K., Brunauer, R., & Gröchenig, S. (2015): Towards a Qualitative Assessment of Changes in Geographic Vector Datasets. In: AGILE 2015 (pp. 181-197). Springer International Publishing.

Mobility & Transport Analytics

Categories

Core Competences

Branches

Wissensbilanz 2022 | 23

Update 3|24