10th ACM SIGSPATIAL International Workshop on Computational Transportation Science
November 7th, 2017, Redondo Beach, California, USA
Registration for the IWCTS 2017 will be handled through the ACM SIGSPATIAL conference website. Please visit the conference site to register, and for additional information on nearby accommodation.
Opening Remarks Foreword
Group Diagrams for Representing Trajectories
Maike Buchin, TU Dortmund; Bernhard Kilgus, Ruhr University Bochum; Andrea Kölzsch, Max Planck Institute for Ornithology Rad
Is Euclidean Distance Really that Bad with Road Networks?
Hua Hua, University of Melbourne; Hairuo Xie, University of Melbourne; Egemen Tanin,University of Melbourne
Using Local and Global Divergence Measures to Identify Road Similarity in Different Road Network Datasets
Mousa Almotairi, University of Texas at Arlington; Tariq Alsahfi, University of Texas at Arlington; Ramez Elmasri, University of Texas at Arlington
A Multi-layer CRF Based Methodology for Improving Crowdsourced Street Semantics
Musfira Jilani, Dublin City University; Padraig Corcoran, Cardiff University; Michela Bertolotto, University College Dublin
Driving in unknown areasFrom UAV images to map for autonomous vehicles
Hai Huang, Bundeswehr University Munich; Patrick Burger, Bundeswehr University Munich; Matthias Schmitz, Bundeswehr University Munich; Lukas Roth, Bundeswehr University Munich; Hans-Joachim Wuensche, Bundeswehr University Munich; Helmut Mayer, Bundeswehr University Munich
Recognizing Spatio-Temporal Traffic Patterns at Intersections Using Self-Organizing Maps
Richard Brunauer, Salzburg Research; Nina Schmitzberger, Salzburg Research; Karl Rehrl, Salzburg Research
Optimizing Bus Stop Spacing Using the Simulated Annealing Algorithm with Spatial Interaction Coverage Model
Yunlei Liang, University of Wisconsin; Song Gao, University of Wisconsin; Tianyu Wu, University of Waterloo; Sujing Wang, University of Waterloo; Yuhao Wu, University of Waterloo
Predicting Traffic Congestion Propagation PatternsA Propagation Graph Approach
Haoyi Xiong, The University of Iowa; Amin Vahedian, The University of Iowa; Xun Zhou, The University of Iowa; Yanhua Li, Worcester Polytechnic Institute; Jun Luo, Lenovo Group Limited
Professor Huei Peng
Roger L. McCarthy Professor of Mechanical Engineering. Director of the University of Michigan Mcity. University of Michigan. Ann Arbor, MI
Title: Connected and Automated Vehicles: Recent Development, M-City, and what we learned from data
Abstract: Despite of continued progress in technologies, driver education and enforcement, the number of fatalities and injuries caused by ground vehicles remain high. In the US, about 35,000 people were killed in 2015 and worldwide the number is more than a million. Technologies supporting the development of “automated vehicles” and “connected vehicles” have the potential to improve motor vehicle safety, and dramatically impact congestion, energy consumption, and mobility. In this talk, the key recent developments will be summarized, including activities at Mcity, and what we learned from the data collected.
Biographical sketch: Prof. Huei Peng received his Ph.D. in Mechanical Engineering from the University of California, Berkeley in 1992. He is now a Professor at the Department of Mechanical Engineering at the University of Michigan. His research interests include adaptive control and optimal control, with emphasis on their applications to vehicular and transportation systems. His current research focuses include design and control of electrified vehicles, and connected/automated vehicles. He currently serves as the Director of the University of Michigan Mcity, which studies connected and autonomous vehicle technologies and promotes their deployment. He has been an active member of the Society of Automotive Engineers (SAE) and the American Society of Mechanical Engineers (ASME). He is both an SAE fellow and an ASME Fellow. He is a ChangJiang Scholar at the Tsinghua University of China.
Subject: Trajectory Computing in Transportation
Date & Time: November 7th, 1:30 PM
Panelists: Dr. Jane Macfarlane, Dr. Asif Haque, Dr. Goce Trajcevski, Dr. Matei Stroila, Dr. Shashi Shekhar
Abstract: Trajectories, sometimes called probe data or location/GPS traces, is treasure nowadays for understanding travelers, traffic, and locations. Making sense out of trajectories is an increasingly active research theme in computational transportation science. In fact, more than half of the submissions to this year's IWCTS are about trajectory computing. With a variety of backgrounds from academia and industry, we wish that this panel will provide expert perspectives and spawn a lively discussion on challenges and solutions of trajectory computing. Potential topics include but are not limited to,
- Trajectory storage, compressing, indexing, and retrieval
- Uncertainty management, map matching, and query processing
- Applications of trajectories in transportation (map making, traffic, routing, driver behavior, activity recognition, many others)
- Location based social networks
Jane Macfarlane, PhD holds a joint appointment at the University of California at Berkeley and Lawrence Berkeley National Laboratory where she is the Director of the Smart Cities and Sustainable Mobility Center and the Executive Director of the Sustainable Transportation Initiative respectively. Her research focus is on semantic analytics, big data analytics and visualization, contextualization of data streams and spatially distributed computing.
Matei Stroila is a Senior Manager of Research at HERE Technologies, currently leading a team of researchers focused on developing innovative solutions for map making techniques and map experiences. He holds a Ph.D. degree in Mathematics from the University of Southern California and an MS degree in Computer Science from the University of Illinois at Urbana-Champaign.
Asif Haque is a senior manager of mapping at Lyft. His teams are at the forefront of Lyft's algorithmic innovation by applying machine learning and mathematical techniques for localization, trajectory prediction, routing, traffic and travel time prediction, predictive pickup, map correction, natural language processing and experimentation framework. Asif got his PhD in Computer Science from Cornell University focussed on data mining with a minor in Operations Research.
Shashi Shekhar is a Mcknight Distinguished University Professor and a Distinguished University Teaching Professor at the University of Minnesota (Computer Science faculty). Shashi is serving as the President of the University Consortium for GIS (2017-18), the Chair of the Board of Directors of the SSTD ( Symposium on Spatial and Temporal Databases) Endowment (2014-2019), and a member of the board of directors of the Computing Research Association (CRA) (2016-2019).
Goce Trajcevski received his B.Sc. degree from the University of Sts. Kiril i Metodij, and his MS and PhD degrees from the University of Illinois at Chicago. He is an Associate Professor at the Dept. of Electrical and Computer Engineering at Iowa State University. His main research interests are in the areas of Spatio-Temporal Data Management, Uncertainty and Reactive Behavior Management – in both Moving Object Databases and Wireless Sensor Networks settings.
Call for Papers
The 10th International Workshop on Computational Transportation Science (IWCTS 2017) is particularly timely given the prominence of connected automated vehicles technologies in the global auto industry’s near-term growth strategies, of big data analytics and unprecedented access to sensing data of mobility, and of integration of this analytics into the optimization of mobility and transport. These developments are deeply computational. We will build upon the success of previous workshops to continue to focus on computation, knowledge discovery, and technology aspects of transportation systems while welcoming research papers in computer science, transportation science, urban and regional planning, the automotive arena, civil engineering, robotics, geography, geo-informatics, and other related disciplines.
Computational methods for Transportation Science are the drivers for intelligent transportation systems, and thus essence for a sustainable future of cities with regard to urban mobility (people) and transport (freight). The fundamentals of these computational methods are rooted in space and time, and thus at the core of ACM SIGSPATIAL. In fact, the conference itself had always a significant portion of papers dedicated to these topics. A focused workshop at the beginning of the conference can:
- Raise further the profile of ACM SIGSPATIAL in the transportation and operation research communities;
- Provide a dedicated discussion forum to this significant application field of computation and geographic information science;
- Attract further participants to the conference both by reaching out to non-traditional conference participants and by accepting short papers.
We are committed to provide an intellectual, scientific, and industry platform to share findings, discuss directions, and develop networks through this workshop. Integrated with the conference, the workshop will enable the whole ACM SIGSPATIAL community to benefit from crosspollination of new ideas and discoveries.
Scope of Submissions
The International Workshop on Computational Transportation Science invites submissions of original, previously unpublished papers contributing to Computational Transportation Science. Position papers that report novel research directions or identify challenging problems are also invited. Papers incorporating one or more of the following themes are especially encouraged:
- Collaborative transport, including collaborative multi-modal transport
- Computational and artificial intelligence aspects of assisted driving, collaborative transport or multi-modal transport
- Crowd sourcing and participatory sensing in transport
- Cameras as sensors for trajectory acquisition and event recognition
- Computer Vision-based information extraction from image sequences
- Context aware analysis of movement data
- New processing frameworks for handling masses of transport data (e.g. Hadoop)
- Uncertain information in collaborative transport and assisted travelling
- Mechanism design for collaborative behavior
- Data mining and statistical learning for travel information
- Human-computer interfaces in intelligent transportation applications
- Privacy, security, and trust in transportation information
- Novel applications targeted to health, mobility, livability and sustainability
Authors should prepare an Adobe Acrobat PDF version of their full paper. Papers must be in English and not exceed 6-pages double column in ACM SIG format (US Letter size, 8.5 x 11 inches, http://www.acm.org/sigs/publications/proceedings-templates) including text, figures and references. Position papers are limited 4 pages in this format, and should be marked ‘(Position paper)’ in the subtitle.
Accepted papers will be published in the ACM digital library under the condition that at least one author has registered for both the main SIGSPATIAL conference and the workshop, attends the workshop, and presents the accepted paper in the workshop. Otherwise, the accepted paper will not appear in the workshop proceedings or in the ACM Digital Library version of the workshop proceedings.
Important Dates and Deadlines
Paper submission due: September 22nd, 2017 (CDT)
Notification to the authors: September 30th, 2017
Camera ready papers due: October 10th, 2017
IWCTS Workshop: November 7th, 2017
ACM SIGSPATIAL Conference: November 7th – November 10th, 2017
- Husain Aziz, Oak Ridge National Laboratory
- Hyung-Ju Cho, Kyungpook National University
- Ronny Kutadinata, University of Melbourne
- Thomas Liebig TU Dortmund
- Jane Macfarlane, Lawrence Berkeley National Laboratory
- Nicole Ronald, Swinburne University of Technology
- Monika Sester, Leibniz Universität Hannover
- Sabine Storandt, JMU Würzburg
- Matei Stroila, HERE Technologies
- Sabine Timpf, University of Augsburg
- Kristian Torp, Aalborg University
- Robert Wagner, Oak Ridge National Laboratory
- Ouri Wolfson, University of Illinois at Chicago