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ORCID13th IWCTS@SIGSPATIAL 2020: Seattle, WA, USA
- Anne Berres, Kuldeep R. Kurte:
IWCTS@SIGSPATIAL 2020: Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science, Seattle, Washington, 3 November, 2020. ACM 2020, ISBN 978-1-4503-8166-6 - Xuerong Xiao, Swetava Ganguli, Vipul Pandey:
VAE-Info-cGAN: generating synthetic images by combining pixel-level and feature-level geospatial conditional inputs. 1:1-1:10 - Lukas Rottkamp, Matthias Schubert:
Quantifying the potential of data-driven mobility support systems. 2:1-2:10 - Paulo Pintor
, Rogério Luís de Carvalho Costa, José Manuel Moreira:
Near real time analytic processing of traffic data streams. 3:1-3:4 - Christian Röger, Irada Ismayilova:
Predicting ambient traffic of a vehicle from road abrasion measurements using random forest. 4:1-4:7 - Yan Li, Yiqun Xie, Pengyue Wang, Shashi Shekhar, William F. Northrop:
Significant lagrangian linear hotspot discovery. 5:1-5:10 - Antonios Karatzoglou:
Applying topographic features for identifying speed patterns using the example of critical driving. 6:1-6:4 - Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Kotagiri Ramamohanarao:
Streaming route assignment with prior temporal traffic data. 7:1-7:10 - Renjie Chen, Craig Gotsman:
Fast a on road networks using a scalable separator-based heuristic. 8:1-8:8 - Christopher Hansen Nielsen, Simon Makne Randers, Bin Yang, Niels Agerholm:
Estimating travel speed distributions of paths in road networks using dual-input LSTMs. 9:1-9:4
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