IFSMS 2016 - 3rd International Workshop on Information Fusion for Smart Mobility Solutions

The 3rd International Workshop on Information Fusion for Smart Mobility Solutions (IFSMS'16) provides an international forum on the latest technologies and research in the field of smart mobility solutions. We are living in a world where cars will soon all be very well-equipped with sensors such as GPS sensors, laser radars, infrared parking sensors, rear dead angle cameras, etc. Besides that, the infrastructure itself is likely to soon exploit technologies currently widely used, like smartphones, navigators and digital radio broadcast. Finally, there have been huge advances on traffic simulation, optimization, intensive computational techniques, distributed computing, data networks, wireless connectivity, and many others. If we combine all of this, there is the richest variety ever of information sources available for smart mobility solutions. The technology is out there, and now it is needed to take firm steps towards wisely combining the sources of information into smart applications that make roads safer and ensure a smooth mobility of individuals.
IFSMS 2016 will be held in London, UK (19-22 September 2016) in conjunction with the 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2016).
Scope
The aim of the proposed workshop is to enhance profitable discussions on what techniques, software, methodologies, transportation and traffic models, and in general, data fusion techniques are being explored for its use for traffic simulation and mobility management and other intelligent transportation system applications for smart mobility.
Topics of interest include (but are not limited to):
Agent-based modeling and simulation
Data fusion and Smart Transportation
Social and emergent behavior in MAS-T (multi-agent systems applied to traffic and transport)
Implementation Issues such as Algorithmic Issues, Real-World Computational Demands, Real-Time Constraints in the context of Fusion systems for Transportation Infrastructures
Environmental Aware Smart Data Fusion applications
Advanced Architectures for Traffic Simulation using Data Mining as Real-World input
Calibration and validation of agent-based models for traffic and transportation
Role of multi-agent methodologies for complex systems
Multi-modal routing of agents in a dynamic traffic environment