The study of user mobility is to understand and analyse the movement of individuals in the spatial and temporal domains. Mobility analytics and trip planning are two vital components of user mobilit
The study of user mobility is to understand and analyse the movement of individuals in the spatial and temporal domains. Mobility analytics and trip planning are two vital components of user mobilit
Traditionally, recommender systems modelled the physical and cyber contextual influence on people’s moving, querying, and browsing behaviours in isolation. Yet, searching, querying and moving beh
Understanding user contexts and group structures plays a central role in pervasive computing. These contexts and community structures are complex to mine from data collected in the wild due to the
Existing research on parking availability sensing mainly relies on extensive contextual and historical information. In practice, the availability of such information is a challenge as it requires
Policy makers and urban planners around the world are encouraging people to use active transport by providing more easily accessible facilities for active transport users. However, trip planning
The taxi and passenger queue contexts indicate the various states of queues related to taxis and passengers (i.e. taxis are waiting for passengers, passengers are waiting for taxis, both are waiting
This paper addresses the problem of taxi-passenger queue context prediction using neighborhood based methods. We capture the taxi drivers’ knowledge based on how they move in terms of temporal
In USA, 2002, approximately 3.2 million intersection-related crashes occurred, corresponding to 50 percent of all reported crashes. In Japan, more than 58 percent of all traffic crashes occur at i
© 2021 Flora Salim - CRUISE Research Group.