The recent development of innovative technologies related to mobile computing combined with smart city infrastructures is generating massive, heterogeneous data and creating opportunities for novel applications in transportational computation science. The heterogeneous data sources provide streams of information that can be used to create smart cities. The knowledge on stream analysis is thus crucial and requires collaboration of people working in logistics, city planning, transportation engineering and data science.
We provide a list of materials for a course on stream processing for computational transportation science. The objectives of the course are:
Motivate data stream and event processing, its model and challenges.
Acquire basic knowledge about data stream processing systems.
Understand and analyze their application in the transportation domain..
