November 14, 2012
Dr. Nebiyou Tilahun, UPP, presents a seminar entitled "An agent based model of origin destination estimation (ADOBE)" Wednesday, November 14th at 4:00 pm in Rm 1127 SEO
November 7, 2012
Mr. Thomas Murtha, CMAP, will address the CTS-IGERT community at 4:00 p.m. in Room 1127 SEO.
October 24, 2012
Please join us in welcoming Dr. Bo Zou, CME, on Wednesday, October 24th, Room 1127 SEO, 4:00 p.m.
September 25, 2012
Award Received by Joshua Auld, CTS-IGERT alumnus.
April 20, 2012
Congratulations to James Biagioni, CTS Fellow and CS PhD candidate, winner of the Dean's Scholar award.
January 2, 2012
James Biagioni, CTS Fellow, receives "Best Presentation Award" at SenSys2011
July 30, 2010
Dr. Ouri Wolfson, Dr. Phillip Yu, and Leon Stenneth, CS student and CTS Associate, recently had a paper accepted to the 6th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2010).
November 3, 2009
Second International Workshop on Computational Transportation Science
To be held in conjunction with The 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2009)
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. CTS applications will improve efficiency, equity, mobility, accessibility, and safety by taking advantage of ubiquitous computing.
SCOPE OF THE SUBMISSION
The International Workshop on Computational Transportation Science invites submissions of original, previously unpublished papers on CTS issues. 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:
- Uncertain information distributed among moving travelers/vehicles and the infrastructure
- Information in pedestrian, biking, and other non-motorized transportation applications
- Ride- and car-sharing using social networks
- Computation of costs of multi-modal traveling
- Information regarding transfers to alternate modes of transportation
- Data mining techniques for travel information
- Dynamic shortest path computations using forecasts
- Human-computer interfaces in intelligent transportation applications
- Privacy and security issues in transportation information
- Social and institutional information related to travel
- Real-time negotiation among travelers
- Mobile artificial-intelligence aspects related to transportation
- Sensor information related to transportation
- Wireless communication with travelers and vehicles