Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

The rise of research into shared mobility systems reflects emerging challenges, such as
rising traffic congestion, rising oil prices and rising environmental concern. The operations …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

In this paper, we propose a novel, computational efficient, dynamic ridesharing algorithm.
The beneficial computational properties of the algorithm arise from casting the ridesharing …

There has been a dramatic growth of shared mobility applications such as ride-sharing, food
delivery and crowdsourced parcel delivery. Shared mobility refers to transportation services …

Graph mining is an important category of graph algorithms that aim to discover structural
patterns such as cliques and motifs in a graph. While a great deal of work has been done …

The sharing economy has quickly become a very prominent subject of research in the
broader computing literature and the in human--computer interaction (HCI) literature more …

Real-time ride-sharing, which enables on-the-fly matching between riders and drivers (even
en-route), is an important problem due to its environmental and societal benefits. With the …

Owing to the advancements in communication and computation technologies, the dream of
commercialized connected and autonomous cars is becoming a reality. However, among …

On-demand ride-pooling (eg, UberPool, LyftLine, GrabShare) has recently become popular
because of its ability to lower costs for passengers while simultaneously increasing revenue …