Movement paths are used widely in intelligent transportation and smart c...
Given an origin (O), a destination (D), and a departure time (T), an
Ori...
Indoor location-based services rely on the availability of sufficiently
...
Due to the sweeping digitalization of processes, increasingly vast amoun...
Correlated time series (CTS) forecasting plays an essential role in many...
Multivariate time series forecasting constitutes important functionality...
Sensors in cyber-physical systems often capture interconnected processes...
The continued digitization of societal processes translates into a
proli...
Deep learning technologies have demonstrated remarkable effectiveness in...
We all depend on mobility, and vehicular transportation affects the dail...
Geo-social networks offer opportunities for the marketing and promotion ...
Time series data occurs widely, and outlier detection is a fundamental
p...
In step with the digitalization of transportation, we are witnessing a
g...
Correlated time series (CTS) forecasting plays an essential role in many...
Trajectory similarity computation has drawn massive attention, as it is ...
With the sweeping digitalization of societal, medical, industrial, and
s...
The widespread deployment of smartphones and location-enabled, networked...
Nearest neighbor (NN) search is inherently computationally expensive in
...
Travel time or speed estimation are part of many intelligent transportat...
Trajectory similarity computation is a fundamental component in a variet...
We consider a setting with an evolving set of requests for transportatio...
The application of machine learning techniques in the setting of road
ne...
With the continued digitalization of societal processes, we are seeing a...
Range aggregate queries find frequent application in data analytics. In ...
Road networks are a type of spatial network, where edges may be associat...
Machine learning techniques for road networks hold the potential to
faci...
Origin-destination (OD) matrices are often used in urban planning, where...
Motivated by the increasing availability of vehicle trajectory data, we
...
We provide efficient support for applications that aim to continuously f...