The 10th International Workshop on Computational Transportation Science (IWCTS 2017) is particularly timely given the prominence of connected automated vehicles technologies in the global auto industry’s near-term growth strategies, of big data analytics and unprecedented access to sensing data of mobility, and of integration of this analytics into the optimization of mobility and transport. These developments are deeply computational. We will build upon the success of previous workshops to continue to focus on computation, knowledge discovery, and technology aspects of transportation systems while welcoming research papers in computer science, transportation science, urban and regional planning, the automotive arena, civil engineering, robotics, geography, geo-informatics, and other related disciplines.
Papers incorporating one or more of the following themes are especially encouraged:
Collaborative transport, including collaborative multi-modal transport
Computational and artificial intelligence aspects of assisted driving, collaborative transport or multi-modal transport
Crowd sourcing and participatory sensing in transport
Cameras as sensors for trajectory acquisition and event recognition
Computer Vision-based information extraction from image sequences
Context aware analysis of movement data
New processing frameworks for handling masses of transport data (e.g. Hadoop)
Uncertain information in collaborative transport and assisted travelling
Mechanism design for collaborative behavior
Data mining and statistical learning for travel information
Human-computer interfaces in intelligent transportation applications
Privacy, security, and trust in transportation information
Novel applications targeted to health, mobility, livability and sustainability
11月07日
2017
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