ATT 2014 - 8th International 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 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 Autonomous Agents in all areas related to transportation, traffic and logistics. Besides running real-world applications, we are also interested in papers concerning demonstrators or testbed that are still under development. Conceptual papers and those reporting on particular components of transportation systems are also welcome.
This is the seventh of a well established series of workshops since 2000. Most of them have published post-proceedings in special issues of journals such as Transportation Research C.
Relevant topics include (but are not limited to):
applications of multiagent technology in traffic, transportation, and transport logistics
coordination in multiagent transportation systems
agent-based traffic control
distributed decision making in traffic, transportation and transport logistics
multi-agent systems for intelligent vehicles
mobile devices and agents in transportation systems
intelligent monitoring of transportation systems using agents
data collection, filtering and distribution of traffic information
autonomous vehicles and collaborative driving
cognitive approaches to modeling traffic participants
machine learning approaches to transportation systems
agent-based approaches to modelling driver behaviour
agent-based simulation of traffic and transportation systems
agent-based pedestrian and crowd simulation
future technologies: opportunities for multiagent systems
vehicle-to-vehicle (V2V) communication and multiagent systems
requirements and issues involved in electromobility