A comprehensive survey on imputation of missing data in internet of things
The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …
communication technologies, and Internet protocols with broad applications. Collecting data …
Edge computing for internet of everything: A survey
In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …
enabling technology to solve a series of issues caused by an increasing amount of …
A novel convolutional neural network based indoor localization framework with WiFi fingerprinting
With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …
devices, indoor localization is empowering numerous location-based services. With the …
Trajectory analysis for on-demand services: A survey focusing on spatial-temporal demand and supply patterns
With the development of information technique and wireless communication, a vast number
of taxis' and ride-sharing cars' trajectory data that provide a rich and detailed source to study …
of taxis' and ride-sharing cars' trajectory data that provide a rich and detailed source to study …
Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China
Trip purpose is closely related to travel patterns and plays an important role in urban
planning and transportation management. Recently, there has been a growing interest in …
planning and transportation management. Recently, there has been a growing interest in …
Charging demand forecasting model for electric vehicles based on online ride-hailing trip data
Electric vehicle (EV) has been popularized and promoted on a large scale because of its
clean and efficient features. Charging this increasing number of EVs is expected to have an …
clean and efficient features. Charging this increasing number of EVs is expected to have an …
TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change
Massive and redundant vehicle trajectory data are continuously sent to the data center via
vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage …
vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage …
FooDNet: Toward an optimized food delivery network based on spatial crowdsourcing
This paper builds a Food Delivery Network (FooDNet in short) using spatial crowdsourcing
(SC). It investigates the participation of urban taxis to support on demand take-out food …
(SC). It investigates the participation of urban taxis to support on demand take-out food …
Decarbonizing megacities: A spatiotemporal analysis considering inter-city travel and the 15-minute city concept
Megacities are major contributors to global road CO2 emissions, highlighting their pivotal
role in achieving low-carbon development. However, comprehensive studies on emission …
role in achieving low-carbon development. However, comprehensive studies on emission …
Assessing individual activity-related exposures to traffic congestion using GPS trajectory data
Accurately assessing individual exposures to traffic congestion and traffic-related emissions
is important for evaluating the impact of traffic congestion on human health. Existing studies …
is important for evaluating the impact of traffic congestion on human health. Existing studies …