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The AAAI Workshop on AI for Transportation WAIT-15
Advice, Interactivity and Actor Modelling
http://ai-for-transportation.wikidot.com/
Austin, TX, USA
25 or 26 January 2015
CALL FOR PAPERS AND PARTICIPATION
*** DEADLINE EXTENDED ***
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The transportation domain is increasingly taking up Artificial Intelligence
techniques in the core of products and systems. Today’s cars implement
machine learning algorithms, and when searching for a route on a mobile,
solutions are provided through AI algorithms. In this workshop, we will
explore a fast-growing application domain in which AI techniques are crucial
for creating the next generation of transportation through AI design and
research methods and embedding AI in transportation systems.
The workshop will give examples of on-going concrete research, but also of the
value that this creates for travellers and cities. The process and project
issues that are associated with AI in this domain that is so close to
real-world human behaviour will be discussed and illustrated.
The objectives of the workshop include:
* Encouraging a stronger interaction between AI and transportation.
* Exposing and investigating real-life transportation problems that can be
tackled with AI.
* Presenting new results, work in progress and promising directions.
* Providing a forum for interaction and discussion.
SUBMISSION
Submissions should be formatted with the AAAI style, and should not exceed
8 pages + 1 page of references only. Shorter papers are perfectly acceptable.
Submissions should be performed through the EasyChair system, at url
https://easychair.org/conferences/?conf=wait15
Due to multiple requests, the submission deadline is extended to 22/10/2014.
TOPICS
There are many interesting problems at the intersection between artificial
intelligence and transportation. Topics include, but are not limited to:
* Route planning and journey planning
* Reasoning about uncertainty
* Knowledge representation
* Data mining for mobility data
* Machine learning
* Diagnosis
* Scheduling for public transport and for ride sharing
* Multi-agent transportation problems
* Combining activity planning with route planning
* Mixed-initiative approaches for decision making
* Responding to disruptions in a transportation network
* AI for unmanned vehicles
* Gaming and interactive computing in transport
* Empirical studies.
FORMAT AND AUDIENCE
The workshop will include invited talks, paper presentations and time for
discussions. The intended audience includes not only AI researchers and
practitioners working in transportation problems, but also researchers
interested in the challenges and the opportunities featured by transportation
as an AI benchmark domain.
CHAIRS
* Adi Botea
IBM Research, Ireland
email: adibo...@ie.ibm.com
* Sebastiaan Meijer
KTH Royal Institute of Technology, Sweden; and
Delft University of Technology, The Netherlands
email: smei...@kth.se
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