ATT 2016 - 9th Workshop on Agents in Traffic and Transportation

Building effective and user-friendly transportation systems is one of the big challenges for engineers in the 21st century. The rapid change of location, enabled by plane, high-speed rail, sea and road travel, has constantly become easier and more natural. These days we travel without any of the difficulties that accompanied taking a trip less than a century ago. All we have to do is to organize and to pick up the transport mode that comes closest to our objectives. In much the same way, many new opportunities for the delivery of goods are being explored and commercially exploited.
The purpose of this workshop is to bring researchers and practitioners together in order to set up visions on how agent technology, and Artificial Intelligent techniques in general, can be and is used for today's isolated IT-tools so as to model, simulate, and manage large-scale complex transportation systems. Therefore, we are interested in research papers, case studies and practitioners' reports on the implementation and use of intelligent agents in all areas related to transportation, traffic and logistics. Besides running real-world applications, we are also interested in papers concerning demonstrators or testbeds that are still under development. Conceptual papers and those reporting on particular components of transportation systems are also welcome.
This is the ninth of a well established series of workshops since 2000. ATT-2016 proceedings will be published online as CEUR workshop proceedings (and will thus have an ISSN). We plan to publish revised and extended versions of the best ATT-2016 papers in a JCR-ranked journal.
Relevant topics include (but are not limited to):
Applications of AI technology in traffic, transportation, and transport logistics
Optimization (e.g., traffic assignment, routing, route choice)
Autonomic transportation systems
Coordination in intelligent transportation systems
Intelligent, adaptive traffic control
Distributed decision making in traffic, transportation and transport logistics
Multi-agent systems for intelligent vehicles
Mobile devices in smart transportation systems
Intelligent monitoring of transportation systems
Data collection, filtering and distribution of traffic information and transportation data
Autonomous vehicles and collaborative driving
Self-* properties of traffic systems
Multilevel goals and goal conflicts in traffic and transportation
Agent-based approaches to modelling driver behaviour
Cognitive approaches to modelling traffic participants
Agent-based simulation of traffic and transportation systems
Agent-based pedestrian and crowd simulation
Future technologies: opportunities for smart transportation
Machine learning approaches to transportation systems
AI and vehicle-to-vehicle (V2V) communication
AI and electromobility
For ATT2016 we specially encourage submissions on real-world applications using a minimum of assumptions about future equipments and using novel techniques from the area of Autonomic Traffic Control and Management.