Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies
Multistep traffic forecasting on road networks is a crucial task in successful intelligent
transportation system applications. To capture the complex non-stationary temporal …
transportation system applications. To capture the complex non-stationary temporal …
GCN-GAN: A non-linear temporal link prediction model for weighted dynamic networks
In this paper, we generally formulate the dynamics prediction problem of various network
systems (eg, the prediction of mobility, traffic and topology) as the temporal link prediction …
systems (eg, the prediction of mobility, traffic and topology) as the temporal link prediction …
A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities
More and more sensor-based devices are deployed for various applications to collect a
huge amount of data for understanding the world, which constitute ubiquitous sensing …
huge amount of data for understanding the world, which constitute ubiquitous sensing …
Multi-task allocation under time constraints in mobile crowdsensing
X Li, X Zhang - IEEE Transactions on Mobile Computing, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a popular paradigm to collect sensed data for numerous
sensing applications. With the increment of tasks and workers in MCS, it has become …
sensing applications. With the increment of tasks and workers in MCS, it has become …
UAVs joint vehicles as data mules for fast codes dissemination for edge networking in smart city
With the rapid development of software-defined technologies, emerging multimedia
applications are booming, which require real-time communication and computation via …
applications are booming, which require real-time communication and computation via …
Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system
Recently, there is a new approach for bike usage that has emerged by bike-sharing system.
While traveling on the road, more and more people will choose to ride shared bicycle at …
While traveling on the road, more and more people will choose to ride shared bicycle at …
A scalable framework for trajectory prediction
Trajectory prediction (TP) is of great importance for a wide range of location-based
applications in intelligent transport systems, such as location-based advertising, route …
applications in intelligent transport systems, such as location-based advertising, route …
Matrix factorization for spatio-temporal neural networks with applications to urban flow prediction
Predicting urban flow is essential for city risk assessment and traffic management, which
profoundly impacts people's lives and property. Recently, some deep learning models …
profoundly impacts people's lives and property. Recently, some deep learning models …
Car4Pac: Last mile parcel delivery through intelligent car trip sharing
The explosion of online shopping brings great challenges to traditional logistics industry,
where the massive parcels and tight delivery deadline impose a large cost on the delivery …
where the massive parcels and tight delivery deadline impose a large cost on the delivery …
Incentive mechanisms for mobile crowdsensing with heterogeneous sensing costs
The emerging mobile crowdsensing applications are able to facilitate people's life in various
aspects. A key factor to ensure that these applications can provide high-quality service is the …
aspects. A key factor to ensure that these applications can provide high-quality service is the …