Visual analytics of mobility and transportation: State of the art and further research directions
Many cities and countries are now striving to create intelligent transportation systems that
utilize the current abundance of multisource and multiform data related to the functionality …
utilize the current abundance of multisource and multiform data related to the functionality …
Visual human–computer interactions for intelligent vehicles and intelligent transportation systems: The state of the art and future directions
Research on intelligent vehicles has been popular in the past decade. To fill the gap
between automatic approaches and man-machine control systems, it is indispensable to …
between automatic approaches and man-machine control systems, it is indispensable to …
Revealing patterns and trends of mass mobility through spatial and temporal abstraction of origin-destination movement data
Origin-destination (OD) movement data describe moves or trips between spatial locations by
specifying the origins, destinations, start, and end times, but not the routes travelled. For …
specifying the origins, destinations, start, and end times, but not the routes travelled. For …
Adapted k-nearest neighbors for detecting anomalies on spatio–temporal traffic flow
Outlier detection is an extensive research area, which has been intensively studied in
several domains such as biological sciences, medical diagnosis, surveillance, and traffic …
several domains such as biological sciences, medical diagnosis, surveillance, and traffic …
Visual analytics in urban computing: An overview
Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …
building a smarter city through urban computing. However, due to heterogeneity, high …