Outlier detection for multidimensional time series using deep neural networks
Due to the continued digitization of industrial and societal processes, including the
deployment of networked sensors, we are witnessing a rapid proliferation of time-ordered …
deployment of networked sensors, we are witnessing a rapid proliferation of time-ordered …
Finding top-k shortest paths with diversity
The classical K Shortest Paths (KSP) problem, which identifies the k shortest paths in a
directed graph, plays an important role in many application domains, such as providing …
directed graph, plays an important role in many application domains, such as providing …
Predicting available parking slots on critical and regular services by exploiting a range of open data
Looking for available parking slots has become a serious issue in contemporary urban
mobility. The selection of suitable car parks could be influenced by multiple factors-eg, the …
mobility. The selection of suitable car parks could be influenced by multiple factors-eg, the …
Stochastic origin-destination matrix forecasting using dual-stage graph convolutional, recurrent neural networks
Origin-destination (OD) matrices are used widely in transportation and logistics to record the
travel cost (eg, travel speed or greenhouse gas emission) between pairs of OD regions …
travel cost (eg, travel speed or greenhouse gas emission) between pairs of OD regions …
Stochastic weight completion for road networks using graph convolutional networks
Innovations in transportation, such as mobility-on-demand services and autonomous driving,
call for high-resolution routing that relies on an accurate representation of travel time …
call for high-resolution routing that relies on an accurate representation of travel time …
Correlated time series forecasting using multi-task deep neural networks
RG Cirstea, DV Micu, GM Muresan, C Guo… - Proceedings of the 27th …, 2018 - dl.acm.org
Cyber-physical systems often consist of entities that interact with each other over time.
Meanwhile, as part of the continued digitization of industrial processes, various sensor …
Meanwhile, as part of the continued digitization of industrial processes, various sensor …
Novel reliable routing method for engineering of internet of vehicles based on graph theory
D Zhang, Y Tang, Y Cui, J Gao, X Liu… - Engineering …, 2019 - emerald.com
Purpose The communication link in the engineering of Internet of Vehicle (IOV) is more
frequent than the communication link in the Mobile ad hoc Network (MANET). Therefore, the …
frequent than the communication link in the Mobile ad hoc Network (MANET). Therefore, the …
Learning to route with sparse trajectory sets
Motivated by the increasing availability of vehicle trajectory data, we propose learn-to-route,
a comprehensive trajectory-based routing solution. Specifically, we first construct a graph …
a comprehensive trajectory-based routing solution. Specifically, we first construct a graph …
Deepist: Deep image-based spatio-temporal network for travel time estimation
Estimating the travel time for a given path is a fundamental problem in many urban
transportation systems. However, prior works fail to well capture moving behaviors …
transportation systems. However, prior works fail to well capture moving behaviors …