First International Workshop on Computational Transportation Science
Call for Papers in .pdf Call for Papers in .txt Important Dates Paper Registration Deadline: May 7, 2008 (requested) Paper Submission Deadline (extended): May 10, 2008 May 17, 2008 Notification of Acceptance: June 1, 2008 Camera-Ready Submissions: June 8, 2008 Contact Information Email: lgodde at cs.uic.edu General Chairperson Peter Nelson University of Illinois at Chicago, USA Program Chairperson Ouri Wolfson University of Illinois at Chicago, USA Publicity Chairperson Laura Goddeeris University of Illinois at Chicago, USA Technical Program Committee Amr El Abbadi University of California, Santa Barbara, USA Walid Aref Purdue University, USA Claus Brenner Leibniz Universität Hannover, Germany Glenn Geers National Information Communications Technology Australia Fosca Giannotti Institute of Information Science and Technologies, Italy Le Gruenwald University of Oklahoma, USA Christian Jensen Aalborg University, Denmark Der-Horng Lee National University of Singapore D. T. Lee Academica Sinica, Taiwan Harvey Miller University of Utah, USA Pitu Mirchandani University of Arizona, USA Dino Pedreschi University of Pisa, Italy Mahadev Satyanarayanan Carnegie-Mellon University, USA Monika Sester University of Hannover, Germany Piyushimita (Vonu) Thakuriah University of Illinois at Chicago, USA Pravin Varaiya University of California, Berkeley, USA Chip White Georgia Institute of Technology, USA Stephan Winter The University of Melbourne, Australia Bo Xu University of Illinois at Chicago, USA	to be held in conjunction with The 5th Annual International Conference on Mobile and Ubiquitous Systems: Networks and Services (MOBIQUITOUS 2008) July 21, 2008 - Trinity College Dublin, Ireland WEBSITE UNDER CONSTRUCTION http://cts.cs.uic.edu/iwcts.htm Accepted papers will be published in the conference proceedings and the ACM digital library.   Purpose of this workshop In the near future, vehicles, travelers, and the infrastructure will collectively have billions of sensors that can communicate with each other.  This environment will enable numerous novel applications and order of magnitude improvement in the performance of existing applications. However, information technology (IT) has not had the dramatic impact on day-to-day transportation that it has had on other domains such as business and science. In terms of the real-time information available to most travelers, with the exception of car navigation systems, the transportation experience has not changed much in the last 30-40 years. During this same time, the miniaturization of computing devices and advances in wireless communication and sensor technology have been propagating computing from the stationary desktop to the mobile outdoors, and making it ubiquitous. Transportation systems, due to their distributed/mobile nature, can become the ultimate test-bed for this ubiquitous (i.e., embedded, highly-distributed, and sensor-laden) computing environment of unprecedented scale. Information technology is the foundation for implementing new strategies, particularly if they are to be made available in real-time to wireless devices such as cell phones and PDAs. A related development is the emergence of increasingly more sophisticated geospatial and spatio-temporal information management capabilities. These factors have the potential to revolutionize traveler services, and the provision and analysis of related information. In this revolution, travelers and sensors in the infrastructure and in vehicles will all produce a vast amount of data that could be interpreted and acted upon to produce a sea change in transportation. The emerging discipline of computational transportation science (CTS) combines computer science and engineering with the modeling, planning, and economic aspects of transportation. The discipline goes beyond vehicular technology, and addresses pedestrian systems on hand-held devices, non-real-time issues such as data mining, as well as data management issues above the networking layer. Pedestrian, biking and other non-motorized transportation applications include ride-sharing using social networks, instant car-sharing information, real-time costs of traveling in alternative modes (including not only monetized value of travel time, but also parking costs and tolls), information regarding transfers to other modes of transportation such as transit, daily activity and itinerary planning that optimizes time spent in travel. As a result of the vast amount of sensors that have been deployed, there is a need to develop appropriate data mining techniques to obtain information that is relevant to the ubiquitous and real-time travel environment. In addition, many of the applications such as dynamic shortest path calculations require that forecasts be made of congestion and other travel conditions. Such forecasts can be made using real-time applications of transportation network models or from real-time road-based or vehicle (probe-based) sensor measurements or a hybrid of both. These emerging areas of research and applications require improved understanding and validation. Scope of the submission The miniaturization of computing devices and advances in wireless communication and sensor technology have been propagating computing from the stationary desktop to the mobile outdoors, and making it ubiquitous. Transportation systems, due to their distributed/mobile nature, can become the test-bed for this ubiquitous (i.e., embedded, highly-distributed, and sensor-laden) computing environment of unprecedented scale. Information technology is the foundation for implementing new strategies. Computational transportation science (CTS) is an emerging discipline that combines computer science and engineering with the modeling, planning, and economic aspects of transportation. By focusing on the information aspects of transportation, rather than particular hardware or software systems, CTS experts can effectively address efficiency, equity, mobility, accessibility, and safety by taking advantage of ubiquitous computing. The International Workshop on Computational Transportation Science invites submissions of original, previously unpublished papers on CTS issues. Papers incorporating one or more of the following themes are especially encouraged: Information management and communication: high mobility wireless communication, collection, management, aggregation, mining, and sharing of real-time and uncertain information distributed among moving travelers/vehicles and the infrastructure. Software tools and services: computer vision, sensor fusion, scheduling and travel-time prediction, economic models and real-time negotiation among travelers, mobile artificial-intelligence aspects related to transportation, and long-term infrastructure planning. Human factors: human-computer interfaces, privacy issues, and social and institutional issues. Submission Instructions Authors should prepare an Adobe Acrobat PDF version of their full paper. Papers must be in English and not exceed 6 pages in double column format (US Letter size, 8.5 x 11 inches) including text, figures and references. For detailed formatting guidelines and templates, please click here. All submitted papers will be rigorously reviewed by the technical program committee. All papers will be submitted electronically via the EasyChair system. Authors are asked to register the titles and abstract of their papers in advance. To register or submit a paper, please click here. If you have any questions regarding submission, please email Laura Goddeeris at lgodde at cs.uic.edu.
Updated by: Laura Goddeeris, lgodde at cs.uic.edu .