The sensable city: A survey on the deployment and management for smart city monitoring
In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …
environments, toward the realization of the so called smart cities. Such systems are based …
Review of data fusion methods for real-time and multi-sensor traffic flow analysis
SA Kashinath, SA Mostafa, A Mustapha… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …
various kinds of data in real-time and from multiple sources, which imposes additional …
GraphSAGE-based traffic speed forecasting for segment network with sparse data
Forecasting of traffic conditions plays a significant role in smart traffic management systems.
With the prevalent use of massive vehicle trajectory data, agencies inevitably encounter …
With the prevalent use of massive vehicle trajectory data, agencies inevitably encounter …
Data loss and reconstruction in sensor networks
Reconstructing the environment in cyber space by sensory data is a fundamental operation
for understanding the physical world in depth. A lot of basic scientific work (eg, nature …
for understanding the physical world in depth. A lot of basic scientific work (eg, nature …
Trend modeling for traffic time series analysis: An integrated study
This paper discusses the trend modeling for traffic time series. First, we recount two types of
definitions for a long-term trend that appeared in previous studies and illustrate their intrinsic …
definitions for a long-term trend that appeared in previous studies and illustrate their intrinsic …
Real-time path planning based on hybrid-VANET-enhanced transportation system
Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path-planning algorithm to achieve a globally optimal …
However, how to design an efficient path-planning algorithm to achieve a globally optimal …
A compressive sensing approach to urban traffic estimation with probe vehicles
Traffic estimation is crucial to a number of tasks such as traffic management and road
engineering. We propose an approach for metropolitan-scale traffic estimation with probe …
engineering. We propose an approach for metropolitan-scale traffic estimation with probe …
Effective urban traffic monitoring by vehicular sensor networks
Traffic monitoring in urban transportation systems can be carried out based on vehicular
sensor networks. Probe vehicles (PVs), such as taxis and buses, and floating cars (FCs) …
sensor networks. Probe vehicles (PVs), such as taxis and buses, and floating cars (FCs) …
LightNestle: quick and accurate neural sequential tensor completion via meta learning
Network operation and maintenance rely heavily on network traffic monitoring. Due to the
measurement overhead reduction, lack of measurement infrastructure, and unexpected …
measurement overhead reduction, lack of measurement infrastructure, and unexpected …
Matrix and tensor based methods for missing data estimation in large traffic networks
Intelligent transportation systems (ITSs) gather information about traffic conditions by
collecting data from a wide range of on-ground sensors. The collected data usually suffer …
collecting data from a wide range of on-ground sensors. The collected data usually suffer …