13th International Workshop on Computational Transportation Science
(IWCTS 2020) (co-located with ACM SIGSPATIAL 2020)

Authors

Title

8:20am-8:30am

Opening Remarks: Foreword

8:30am-9:00am

Xuerong Xiao,
Swetava Ganguli, and Vipul Pandey

VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs

9:00am-9:30am

Lukas Rottkam and Matthias Schubert

Quantifying the Potential of Data-Driven Mobility Support Systems

9:30am-10:00am

Paulo Pintor, Rogério Luís de C. Costa, and José Moreira

Near Real Time Analytic Processing of Traffic Data Streams

10:00am - 11:00am Break

11:00am-12:00pm

Keynote: Dr. Mina Sartipi: “How Artificial Intelligence and Connected Technologies Make Mobility Efficient”

12:00pm-12:30pm

Christian Röger and
Irada Ismayilova

Predicting Ambient Traffic of a Vehicle from Road Abrasion Measurements using Random Forest

12:30pm-1:00pm

Yan Li, Yiqun Xie, Pengyue Wang,
Shashi Shekha, and William Northrop

Significant Lagrangian Linear Hotspot Discovery

1:00pm-1:30pm

Antonios Karatzoglou

Applying Topographic Features for Identifying Speed Patterns Using the Example of Critical Driving

1:30pm - 2:30pm Break

2:30pm-3:00pm

Christopher Hansen Nielsen, Simon Makne Randers, Bin Yang, and Niels Agerholm

Estimating Travel Speed Distributions of Paths in Road Networks using Dual-Input LSTMs

3:00pm-3:30pm

Renjie Chen and
Craig Gotsman

Fast A* on Road Networks Using a Scalable Separator-Based Heuristic

3:30pm-4:00pm

Sadegh Motallebi,
Hairuo Xie,
Egemen Tanin and Kotagiri Ramamohanarao

Streaming Route Assignment with Prior Temporal Traffic Data

4:00pm-4:30pm

Wrap up discussion – Future Direction and Collaboration Opportunities