A comprehensive survey on imputation of missing data in internet of things

D Adhikari, W Jiang, J Zhan, Z He, DB Rawat… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …

Edge computing for internet of everything: A survey

X Kong, Y Wu, H Wang, F **a - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
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 …

A novel convolutional neural network based indoor localization framework with WiFi fingerprinting

X Song, X Fan, C **ang, Q Ye, L Liu, Z Wang… - IEEE …, 2019 - ieeexplore.ieee.org
With the ubiquitous deployment of wireless systems and pervasive availability of smart
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

S Wang, L Li, W Ma, X Chen - Transportation Research Part C: Emerging …, 2019 - Elsevier
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 …

Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China

S Li, C Zhuang, Z Tan, F Gao, Z Lai, Z Wu - Journal of Transport Geography, 2021 - Elsevier
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 …

Charging demand forecasting model for electric vehicles based on online ride-hailing trip data

Q **ng, Z Chen, Z Zhang, X Huang, Z Leng, K Sun… - Ieee …, 2019 - ieeexplore.ieee.org
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 …

TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change

C Chen, Y Ding, X **e, S Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

FooDNet: Toward an optimized food delivery network based on spatial crowdsourcing

Y Liu, B Guo, C Chen, H Du, Z Yu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Decarbonizing megacities: A spatiotemporal analysis considering inter-city travel and the 15-minute city concept

W Chen, Z Tan, Y Wu, F Biljecki, S Liao, Q Zhou, H Li… - Cities, 2024 - Elsevier
Megacities are major contributors to global road CO2 emissions, highlighting their pivotal
role in achieving low-carbon development. However, comprehensive studies on emission …

Assessing individual activity-related exposures to traffic congestion using GPS trajectory data

Z Kan, MP Kwan, D Liu, L Tang, Y Chen… - Journal of transport …, 2022 - Elsevier
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 …