Sensing data supported traffic flow prediction via denoising schemes and ANN: A comparison
Short-term traffic flow prediction plays a key role of Intelligent Transportation System (ITS),
which supports traffic planning, traffic management and control, roadway safety evaluation …
which supports traffic planning, traffic management and control, roadway safety evaluation …
Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach
This paper proposes a joint-optimization framework for UAV-routing and UAV-route
scheduling problems associated with the UAV-assisted delivery system. The mixed-integer …
scheduling problems associated with the UAV-assisted delivery system. The mixed-integer …
Connected vehicle as a mobile sensor for real time queue length at signalized intersections
With the development of intelligent transportation system (ITS) and vehicle to X (V2X), the
connected vehicle is capable of sensing a great deal of useful traffic information, such as …
connected vehicle is capable of sensing a great deal of useful traffic information, such as …
A distributed WND-LSTM model on MapReduce for short-term traffic flow prediction
Building data-driven intelligent transportation is a significant task for establishing data-
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …
EdgeDrone: QoS aware MQTT middleware for mobile edge computing in opportunistic Internet of Drone Things
Internet of Things is a crucial research empire in the current era which enables a wide
diversity of applications. One of the emerging classes of technology in recent age dominate …
diversity of applications. One of the emerging classes of technology in recent age dominate …
Short term traffic state prediction via hyperparameter optimization based classifiers
Short-term traffic state prediction has become an integral component of an advanced
traveler information system (ATIS) in intelligent transportation systems (ITS). Accurate …
traveler information system (ATIS) in intelligent transportation systems (ITS). Accurate …
DIFTOS: A distributed infrastructure-free traffic optimization system based on vehicular ad hoc networks for urban environments
Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization
systems have been proposed recently. However, most of them suffer from three main …
systems have been proposed recently. However, most of them suffer from three main …
An improved hybrid highway traffic flow prediction model based on machine learning
Z Wang, R Chu, M Zhang, X Wang, S Luan - Sustainability, 2020 - mdpi.com
For intelligent transportation systems (ITSs), reliable and accurate real-time traffic flow
prediction is an important step and a necessary prerequisite for alleviating traffic congestion …
prediction is an important step and a necessary prerequisite for alleviating traffic congestion …
Protocol misbehavior detection framework using machine learning classification in vehicular Ad Hoc networks
K Sharshembiev, SM Yoo, E Elmahdi - Wireless Networks, 2021 - Springer
A novel approach is proposed to detect protocol misbehavior using state-of-the-art machine
learning frameworks and entropy. Nodes in Vehicular Ad Hoc Networks (VANETs) use …
learning frameworks and entropy. Nodes in Vehicular Ad Hoc Networks (VANETs) use …
Mobile Edge-based Information-Centric Network for emergency messages dissemination in Internet of Vehicles: A Deep Learning Approach
With the rapid advancement of Internet of Things (IoT) communication technologies, the
Internet of Vehicles (IoV) has gained significant attention for providing the real-time …
Internet of Vehicles (IoV) has gained significant attention for providing the real-time …