IWCTS 2015

8th ACM SIGSPATIAL International Workshop on Computational Transportation Science

November 3rd, 2015, Seattle, Washington, USA

Conference Program

Registration

Registration for the IWCTS 2015 will be handled through the ACM SIGSPATIAL 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.

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Program
November 3rd, 2015, Tuesday


Start timeEnd time
07000900SIGSPATIAL Breakfast and Registration
0900Opening RemarksYan Huang, UNT
09100930Technical Talk:
Kiumars Soltani, Anand Padmanabhan and Shaowen Wang. "MovePattern: Interactive framework to provide scalable visualization of movement patterns"
Yan Huang, UNT
09300950Technical Talk: Uyen T. V. Nguyen, Shanika Karunasekera, Lars Kulik, Egemen Tanin, Rui Zhang, Haolan Zhang, Hairuo Xie and Kotagiri Ramamohanarao. "Randomized Path Routing Algorithm for Decentralized Route Allocation in Transportation Networks"
09501010Technical Talk:
Kyosuke Nishida, Hiroyuki Toda and Yoshimasa Koike. "Extracting Arbitrary-shaped Stay Regions from Geospatial Trajectories with Outliers and Missing Points"
10101030Technical Talk:
Ines Jguirim, David Brosset and Christophe Claramunt. "An activity-based modeling approach for the representation of the city"
10301100Coffee Break
11001200Invited Talk:
Opportunities and Chanllengrs for Big Transportation Data
Mark Hallenbeck, UW
12001350Lunch
14001450Invited Talk:
Smart Transportation needs Computational Transportation Science
Stephan Winter, U Melbourne
14501510Technical Talk:
Yan Zhuang, Jin-Yun Xie, Cheng-Lin Ma, Yang Yue and Zhui-Ri Li. "A Fast Clustering Approach for Identifying Traffic Congestions"
Xin Chen, HERE
15101530Technical Talk:
Samet Ayhan and Hanan Samet. "DICLERGE: Divide-Cluster-Merge Framework for Clustering Aircraft Trajectories"
15301600Coffee Break
1600Closing RemarksXin Chen, HERE


KEYNOTE

OPPORTUNITIES AND CHALLENGES FOR BIG TRANSPORTATION DATA
We all travel. Its part of our lives. Rarely do we travel as quickly, effortlessly, and reliably as we wish we did. We are also generating data at unprecedented rates. Large quantities of that data can be used to improve how we plan, operate, and use our transportation system. If only the actual data didn’t get in the way of our desired outcomes. This talk will describe some of more interesting and exciting opportunities that we can see on the horizon (the Sharing Economy! Connected Vehicles! Automated Cars! Energy Savings!) It will also discuss challenges we face in converting the data we can gather into information that actually improves the operation of the transportation system and our own personal choices in how we use that system. To solve our transportation problems we first need to solve our data problems. Come be part of the solution.
Keynote speaker: Mr. Mark Hallenbeck
Director, TRAC - University of Washington

Mark Hallenbeck is the Director of the Washington State Transportation Center (TRAC) at the University of Washington (UW). He is also the Associate Director for Outreach at for the Region 10 University Transportation Center (PacTrans). Mark has been with TRAC for over 30 years. He currently teaches Intelligent Transportation Systems and Urban Transportation Planning in Civil Engineering at the UW. Much of Mark’s research involves the collection, use, summarization, and reporting of data that describe transportation system use and performance, and then using that information to work with the public and decision makers as they make major transportation and land use investment decisions. He is currently working with multiple agencies in the region to examine how “big data” and new technology can be used to improve regional mobility, while examining how changing mobility options are effecting land use decisions.


SMART TRANSPORTATION NEEDS COMPUTATIONAL TRANSPORTATION SCIENCE[ ppt]
Starting out from characterizing a Computational Transportation Science I will identify challenges of smart transportation and link these challenges to the characterization. I will add some examples of the work from my group, grounding the arguments in practical experiences.
Keynote speaker: Prof. Stephan Winter
Professor, Spatial Information Science at the Department of Infrastructure Engineering, University of Melbourne

Stephan Winter is Professor in Spatial Information Science at the Department of Infrastructure Engineering, The University of Melbourne. He holds a PhD (Dr.-Ing., cum laude, 1997) from the University of Bonn, and a habilitation from the Technical University Vienna (2001). Within spatial information science Stephan Winter is specializing on human spatial cognition and communication, with a vision of developing intelligent spatial machines especially in the context of navigation and intelligent transport. He has contributed to topics such as spatial human-computer interaction, network analysis, routing heuristics, and collaborative transportation and evacuation.


Accepted Papers

MovePattern: Interactive framework to provide scalable visualization of movement patterns
Kiumars Soltani, Anand Padmanabhan and Shaowen Wang
Extracting Arbitrary-shaped Stay Regions from Geospatial Trajectories with Outliers and Missing Points
Kyosuke Nishida, Hiroyuki Toda and Yoshimasa Koike
A Fast Clustering Approach for Identifying Traffic Congestions
Yan Zhuang, Jin-Yun Xie, Cheng-Lin Ma, Yang Yue and Zhui-Ri Li
A Randomized Path Routing Algorithm for Decentralized Route Allocation in Transportation Networks
Uyen T. V. Nguyen, Shanika Karunasekera, Lars Kulik, Egemen Tanin, Rui Zhang, Haolan Zhang, Hairuo Xie and Kotagiri Ramamohanarao
DICLERGE: Divide-Cluster-Merge Framework for Clustering Aircraft Trajectories
Samet Ayhan and Hanan Samet
An activity-based modeling approach for the representation of the city
Ines Jguirim, David Brosset and Christophe Claramunt

Important Dates


Paper submission due: September 21st, 2015 (CDT)
Notification to the authors: September 30th, 2015
October 2th, 2015
Camera ready papers due: October 10th, 2015
IWCTS Workshop: November 3rd, 2015
ACM SIGSPATIAL Conference: November 3rd -6th, 2015

Call For Papers

The 8th International Workshop on Computational Transportation Science (IWCTS 2015) is particularly timely given the prominence of self-driving technologies in the global auto industry’s near-term growth strategies. 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.

Background

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.

Scope of The Submission

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

Submission Instructions

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. 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 https://easychair.org/conferences/?conf=iwcts2015. 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.

Join Us in Seattle!

Committee Members

General Chairs

Yan Huang, University of North Texas, USA
Xin Chen, HERE, a Nokia company, Northwestern University, Illinois Institute of Technology, USA


Industry Advisors

Feng Guo, QUALCOMM, USA
Shituo Han, Ctrip, China
Kai Ni, Baidu, China
Liu Ren, Bosch, USA
Michael Seibold, BMW, Germany
Wende Zhang, General Motors, USA


Steering Chairs

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


Publicity Chair

Andi Zang, HERE, a Nokia company, USA


Programme Committees

Caitlin Cottrill, University of Aberdeen, UK
Jan Fabian Ehmke, FU Berlin, Germany
Feng Guo, QUALCOMM, USA
Samer Hamdar, George Washington University, USA
Shituo Han, Ctrip, China
Sergio Ilarri, University of Zaragoza, Spain
Thomas Liebig, TU-Dortmund, Germany
Dirk Christian Mattfeld, TU Braunschweig, Germany
Harvey J. Miller, the Ohio State University, USA
Sergio Di Martino, Volkswagen AG, Germany
Xue Mei, Toyota, USA
Kai Ni, Baidu Institue of Deep Learning, USA
Liu Ren, Bosch, USA
Nicole Ronald, University of Melbourne, Australia
Michael Seibold, BMW, Germany
Sabine Storandt, Universität Freiburg, Germany
Shaohui Sun, Volkswagen Research, USA
Bo Xu, HERE, a Nokia company, USA
Andreas Wendel, Google X, USA
Stephan Winter, the University of Melbourne, Australia
Kuilin Zhang, Michigan Technological University, USA
Wende Zhang, General Motors, USA
Ying Zhao, Tsinghua University, China
Yu Zheng, Microsoft Research, SJTU, China
...


Web Master

Andi Zang


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