Modern transportation is no longer powered by fuel or electricity alone. It is powered by information as well. The transportation system has come to an era where the abundant information and the advanced machine learning, data mining, and decision-making algorithms can join forces to solve the issues we face in transportation and make it more intelligent and efficient.
We propose the Intelligent Transportation Informatics (InTI), which refers to the acquisition, integration, and analysis of heterogeneous information generated in transportation, to improve the efficiency of the transportation system. The vision of InTI calls for interdisciplinary collaborations between computer science and other fields, such as transportation, economy, and operational research.
1:30 PM - 2:20 PM Keynote Talk : Data and Decision Sciences for Mobility Services by Pascal Van Hentenryck
2:20 PM - 3:00 PM Paper Presentation
3:00 PM - 3:30 PM Coffee Break
3:30 PM - 4:20 PM Keynote Talk : Promises and Issues of Transportation Big Data by Xuegang (Jeff) Ban
4:20 PM - 5:00 PM Poster Session
University of Michigan
University of Washington
Title : Data and Decision Sciences for Mobility Services
Presenter : Pascal Van Hentenryck
Abstract : The availability of massive data sets, combined with progress in communication technologies, data and decision sciences, and connected and automated vehicles has the potential to transform mobility for entire population segments. This talk reviews this opportunity, from its potential societal impact, to the development of new mobility services, and the science and technology powering them. In particular, the talk presents recent developments in on-demand multimodal transit systems and community-based trip sharing on real case studies, as well as the optimization and privacy mechanisms underlying them.
Bio : Pascal Van Hentenryck is the Seth Bonder Collegiate Professor at the University of Michigan. He is professor of Industrial and Operations Engineering, Professor of Computer Science and Engineering, and Core Faculty in the Michigan Institute for Data Science. Prior to this appointment, he led the optimization research group (about 70 people) at National ICT Australia (NICTA) (until its merger with CSIRO) and was a professor of Computer Science at Brown University for about 20 years, which he joined after his PhD in Belgium. Van Hentenryck is also an Honorary Professor at the Australian National University.Van Hentenryck is a Fellow of AAAI (the Association for the Advancement of Artificial Intelligence) and INFORMS (the Institute for Operations Research and Management Science). Van Hentenryck is program co-chair of the AAAI’19 conference.
Title: Promises and Issues of Transportation Big Data
Presenter: Xuegang (Jeff) Ban
Abstract : Big data and related data analytics methods have received much attention recently in transportation for various planning and operational applications. This talk summarizes the promises of big data and illustrates the issues of some commonly used big data sources in transportation. We then briefly discuss the implications of such issues and suggest a possible pathway that may help address those issues.
Bio : Dr. Xuegang (Jeff) Ban is an Associate Professor of the Department of Civil and Environmental Engineering at the University of Washington. He received his B.S. and M.S. in Automobile Engineering from Tsinghua University, and his M.S. in Computer Sciences and Ph.D. in Civil and Environmental Engineering (Transportation) from the University of Wisconsin at Madison. His research focuses on Transportation Network System Modeling and Simulation, Urban Traffic System Modeling and Control, and Intelligent Transportation Systems (ITS). He has published more than 120 papers in refereed journals, as book chapters, or in conference proceedings. He is a member of the TRB’s Network Modeling Committee and Vehicle-Highway Automation Committee. He is an Associate Editor of Transportation Research Part C, IEEE Transactions on Intelligent Transportation Systems, and Journal of Intelligent Transportation Systems. He is the recipient of the CAREER Award from the National Science Foundation, and the New Faculty Award from the Council of University Transportation Centers (CUTC) and the American Road & Transportation Builders Association (ARTBA).
In this workshop, We invite professionals, researchers and technologists of all relevant fields to present the state-of-the-art development and applications, share their envisions about the future of intelligent transportation informatics.
The topics of interests include, but not limited to, the following aspects:
We encourage short papers (4 pages), poster papers (2 pages) and demo proposals (2 pages). Submissions of workshop papers must be in English, in PDF format, and should not exceed the appropriate length requirements in the current ACM two-column conference format. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this workshop. We will follow a single-blind process and submissions will be evaluated by the program committee based on the quality of the work and its fit to the workshop themes. All papers are to be submitted via EasyChair https://easychair.org/conferences/?conf=inti2018 .
For inquires about the workshop and submissions, please email to firstname.lastname@example.org
May 14, 2018 (extended): Workshop papers due. (Anywhere on Earth)
May 25, 2018: Workshop paper notifications.
June 8, 2018: Camera-ready deadline for workshop papers.
July 12, 2018: Workshop Day.