Skip to Content

IWCTS 2014 Home

7th ACM SIGSPATIAL International Workshop on Computational Transportation Science

November 4, 2014, Dallas, TX, USA

Held in conjunction with the

22nd ACM SIGSPATIAL International Conference on
Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014) November 4-7 2013 - Dallas, TX, USA

It is our pleasure to have Dr. Ouri Wolfson to give a keynote. Click Here for details.

Click Here for IWCTS 2014 Technical Program


08:00 - 09:00 Breakfast (provided)

09:00 – 9:45 Welcome and Kick-off Speech (Xin Chen, Chair)

  • Automated Mobility: How environment awareness technologies will “drive” intelligent transportation of the future
  • 9:45 - 10:30 Session 1 (20 minutes for each presentation)

  • Sensor-Based Trip-Separation Method Based on Ergodic HMM, Hiroki Ohashi, Phong Xuan Nguyen, Takayuki Akiyama, Masaaki Yamamoto and Akiko Sato
  • Toward Dynamic Path Recommender System Based on Social Network Data, Faizan Ur Rehman, Ahmed Lbath, Md. Abdur Rahman, Saleh Basalamah, Imad Afyouni, Akhlaq Ahmad and Syed Osama Hussain
  • 10:30 - 11:00 Coffee Break

    11:00 - 12:15 Session 2 (20 minutes for each presentation)

  • Realtime Response of Shortest Path Computation, Lin Qi and Markus Schneider
  • NormSTAD Flight Analysis: Visualizing Air Traffic Patterns over the United States, Samet Ayhan, Brendan Fruin, Fan Yang and Michael O. Ball

  • TeleAgro+ - Analysis Framework for Agricultural Telematics Data, Johannes Lauer, Ludwig Richter, Timothy Ellersiek and Alexander Zipf
  • 12:15 - 13:30 Lunch break (lunch is not provided)

    13:30 - 14:15 Keynote Speech (Ouri Wolfson)

  • The Opportunities and Challenges in Temporary Geospatial Information
  • 14:15 - 15:30 Session 3 (20 minutes for each presentation)

  • Euler Histogram Tree: A Spatial Data Structure for Aggregate Range Queries on Vehicle Trajectories, Hairuo Xie, Egemen Tanin, Lars Kulik, Peter Scheuermann, Goce Trajcevski and Maryam Fanaeepour
  • Deriving Driver-Centric Travel Information by Mining Delay Patterns from Single GPS Trajectories, Richard Brunauer and Karl Rehrl

  • A Before and After Study for Travel Time of Unconventional Intersections Using Probe Data, Bo Xu, Matei Stroila and Jane Macfarlane
  • 15:30 - 16:00 Afternoon coffee break

    16:00 - 17:15 Session 4 (20 minutes for each presentation)

  • Better Transit Routing by Exploiting Vehicle GPS Data, Daniel Delling, Giuseppe Italiano, Thomas Pajor and Federico Santaroni
  • A Marketplace for Spatio-temporal Resources and Truthfulness of its Users, Ouri Wolfson and Jane Lin

  • UPDetector: Sensing Parking/Unparking Activities Using Smartphones, Shuo Ma, Ouri Wolfson and Bo Xu
  • 17:15 - 17:30 Closing


    Automated Mobility: How Environment Awareness Technologies will “Drive” Intelligent Transportation of the Future

    The industry is faced with a unique challenge – creating automated mobility systems that exercise good judgment in complex scenarios. New modes of transportation and interaction capabilities with automated systems will fundamentally change the way people move. However, at the core of these advancements is the importance of environment awareness in and around our mobility systems. The opportunities that environment awareness technologies bring to our industry are in their infancy and major advancements in the field of automation will change the way that we interact with the world around us.

    Dr. Xin Chen will present his vision on next generation digital mapping to enable automated driving. Join this talk to gain a behind the scenes insight into the role of environment awareness in developing the future of intelligent transportation and technologies.

    IWCTS 2014 Chair: Dr. Xin Chen

    Dr. Xin Chen is a Senior Research Scientist and an Engineering Manager at HERE, a Nokia company (formerly NAVTEQ), the world leader in premium global digital map. He leads a team to pioneer HD map creation for highly autonomous driving using computer vision and machine learning technologies. Xin is also the University Cooperation Ambassador for the Patenting, Legal and Intellectual Property team at Nokia.

    Xin currently teaches a “Geospatial Vision and Visualization” and a “Biometrics” course at the undergraduate and graduate levels as an adjunct professor in the Computer Science Department of the Illinois Institute of Technology and in the Electrical Engineering and Computer Science Department of Northwestern University. He is also a Ph.D. advisor at IIT. Xin has been invited to speak on next generation digital mapping technologies at various top-notch U.S. universities. He has numerous publications and patents in his field. Xin has served as a program chair and on the committee for several premium international conferences and workshops. Xin obtained his Ph.D. in Computer Science and Engineering from the University of Notre Dame.


    The Opportunities and Challenges in Temporary Geospatial Information

    Digital mapping is currently a battle ground among technology giants including Google, Apple, and Microsoft. The recent Apple mapping flop and its high profile indicate the importance of the field to the smartphone industry. A recent article in the New York Times states “the competition to make the best maps, the thinking goes, is more than a struggle over who dominates the trillion-dollar smartphone market; it’s a contest over the future itself.”

    While the battle over static mapping is well under way, in this talk I propose that the next frontier is dynamic mapping, namely mapping of geo-spatial information that is temporary rather than fixed. Uber, Zipcar, and Bike-share are examples of existing transportation services involving dynamic mapping. But these are just first movers forming the tip of the Smart City iceberg. I will describe others, and some Information Technology methods to address the technological challenges. These include crowdsourcing, machine learning, and algorithmic game theory.

    Keynote speaker: Dr. Ouri Wolfson

    Ouri Wolfson, Ph.D., is the Richard and Loan Hill Professor of Computer Science at the University of Illinois at Chicago, and an Affiliate Professor in the Department of Computer Science at the University of Illinois at Urbana Champaign. He is the founder of Mobitrac, a venture-funded high-tech startup that was acquired in 2006, and of Pirouette Software. Wolfson authored over 200 publications, and holds seven patents. He is a Fellow of the ACM, AAAS, IEEE, and a University of Illinois Scholar. He co-authored four award winning papers. Wolfson’s main research interests are in databases, distributed systems, and mobile/pervasive computing.


    The seventh International Workshop on Computational Transportation Science (IWCTS) is particularly timely given the prominence of self-driving technologies in the global auto industry’s near-term growth strategies and Nokia’s announcement of a $100 million investment in connected and intelligent vehicle development. 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, geoinformatics, and other related disciplines.


    In the near future, vehicles, travellers, and the infrastructure will collectively have billions of sensors that can communicate with each other. Transportation systems, due to their distributed/mobile nature, can become the ultimate test-bed for a ubiquitous (i.e., embedded, highly-distributed, and sensor-laden) computing environment of unprecedented scale. This environment will enable numerous novel applications and order of magnitude improvement of the performance of existing applications. Information technology is the foundation for implementing new strategies, particularly if they are to be made available in real-time to wireless devices in vehicles or in the hands of people. Contributing are increasingly more sophisticated geospatial and spatio-temporal information management capabilities. Human factors, technology adoption and use, user feedback and incentives for collaborative behaviour are areas of technology policy central to the success of this ubiquitous computing environment.

    The emerging discipline of Computational Transportation Science (the science behind Intelligent Transportation Systems) combines computer science and engineering with the modelling, planning, and economic aspects of transportation planning and engineering to leverage developments in the above domains. By taking advantage of ubiquitous computing, Computational Transportation Science applications can help create more efficient, equitable, liveable and sustainable transportation systems and communities.


    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 behaviour
  • 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, liveability and sustainability


    Authors should prepare an Adobe Acrobat PDF version of their full paper. Papers must be in English and 6 to 10 pages double column in ACM SIG format (US Letter size, 8.5 x 11 inches, including text, figures and references. Position papers are limited 4 pages. Each submission should start with: the title, abstract, and names, contact information of authors, type of the submission (research paper or position paper). To submit a paper, please visit Accepted papers will be published in the ACM digital library. Authors of accepted papers must guarantee that their paper will be presented at the workshop.


  • Paper submissions due: September 12nd, 2014
  • Notification to the authors: September 22nd, 2014
  • Camera ready papers due: October 5th, 2014 Note: Page limit is 6~10 pages!!
  • IWCTS Workshop: November 4th, 2014
  • ACM GIS 2014 Conference: November 4-7, 2014


    Registration for the IWCTS 2014 will be handled through the ACM GIS conference website. Please visit the conference site to register, and for additional information on nearby accommodation.

    One author per accepted workshop paper is required to register for both the main SIGSPATIAL conference and the workshop, to attend the workshop, and to present 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.


    Workshop Chair

  • Xin Chen, HERE/Nokia, Northwestern University, Illinois Institute of Technology, USA

    Steering Committee

  • Ouri Wolfson, University of Illinois at Chicago, USA
  • Bhaduri Budhendra, Oak Ridge National Laboratory, Tennessee, USA

    Publicity Chair

  • Steve Liang, University of Calgary, Canada

    Program Committee Members

  • Francesco Ciari, ETH, Swizerland
  • Caitlin Cottrill, University of Aberdeen, UK
  • Fletcher Foti, Synthicity, USA
  • Stefan Funke, UNI-Stuttgart, Germany
  • Sergio Ilarri, University of Zaragoza, Spain
  • Seng Wai Loke, Latrobe University, Australia
  • Dirk Christian Mattfeld, TU Braunschweig, Germany
  • Harvey J. Miller, the Ohio State University, USA
  • Sergio Di Martino, Volkswagen AG, Germany
  • Jan Fabian Ehmke, FU Berlin, Germany
  • Glenn Geers, NICTA, Australia
  • Samer Hamdar, George Washington University, USA
  • Junzhou Huang, University of Texas at Arlington, USA
  • Thomas Liebig, TU-Dortmund, Germany
  • Nicole Ronald, University of Melbourne, Australia
  • Peter Sanders, Karlsruhe Institute of Technology, Germany
  • Michael Seibold, BMW, Germany
  • Monika Sester, Leibniz University, Germany
  • Sabine Storandt, Universität Freiburg, Germany
  • Stephan Winter, the University of Melbourne, Australia
  • Carlos Vanegas, Synthicity, USA
  • Songhua Xing, IBM, USA
  • Bo Xu, HERE/Nokia, USA
  • Dengfeng Yang,, USA
  • Kuilin Zhang, Michigan Technological University, USA
  • Wende Zhang, General Motors, USA
  • Yu Zheng, Microsoft Research, Shanghai Jiaotong University, China