Digital twin-supported smart city: Status, challenges and future research directions

H Wang, X Chen, F Jia, X Cheng - Expert Systems with Applications, 2023 - Elsevier
A city can be considered a carrier of multiple sources of data and information that are
updated in real time and experiences continuous operation and development. Therefore, a …

Vehicle classification in intelligent transport systems: An overview, methods and software perspective

A Gholamhosseinian, J Seitz - IEEE Open Journal of Intelligent …, 2021 - ieeexplore.ieee.org
Vehicle Classification (VC) is a key element of Intelligent Transportation Systems (ITS).
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …

A review on vehicle classification and potential use of smart vehicle-assisted techniques

H Shokravi, H Shokravi, N Bakhary, M Heidarrezaei… - Sensors, 2020 - mdpi.com
Vehicle classification (VC) is an underlying approach in an intelligent transportation system
and is widely used in various applications like the monitoring of traffic flow, automated …

An ensemble broad learning scheme for semisupervised vehicle type classification

L Guo, R Li, B Jiang - … on neural networks and learning systems, 2021 - ieeexplore.ieee.org
Nowadays vehicle type classification is a fundamental part of intelligent transportation
systems (ITSs) and is widely used in various applications like traffic flow monitoring, security …

Wi-LADL: a wireless-based lightweight attention deep learning method for human–vehicle recognition

M Song, L Lou, X Chen, X Zhao, Y Hong… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Wireless sensing-based human–vehicle recognition (HVR) methods have become a
research hotspot due to their noninvasive, low-cost, and ubiquitous advantages. However …

Optimized Wireless Sensing and Deep Learning for Enhanced Human-Vehicle Recognition

L Lou, M Song, X Chen, X Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the realm of traffic parameter measurement, wireless sensing-based human-vehicle
recognition methods have been pivotal due to their low cost and non-invasive nature …

Wireless Sensing Based Human-Vehicle Classification Method via Deep Learning: Analysis and Implementation

L Lou, M Song, X Chen, X Zhao… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Wireless-sensing-based human–vehicle classification (WHVC) offer cost-effective
advantages and enhance the detection efficiency of traffic parameters in intelligent …

[Retracted] Traffic State Detection Based on Multidimensional Data Fusion System of Internet of Things

J Zhang, W Zhu, X Wu, T Ma - Wireless Communications and …, 2021 - Wiley Online Library
In recent years, the rapid development of cloud computing, mobile Internet, Internet of
Things, and other technologies has accelerated the explosive growth of the number and …

Analysis of methods for long vehicles speed estimation using anisotropic magneto-resistive (AMR) sensors and reference piezoelectric sensor

V Markevicius, D Navikas, D Miklusis, D Andriukaitis… - Sensors, 2020 - mdpi.com
With rapidly increasing traffic occupancy, intelligent transportation systems (ITSs) are a vital
feature for urban areas. This paper analyses methods for estimating long (L> 10 m) vehicle …

Erroneous vehicle velocity estimation correction using anisotropic magnetoresistive (AMR) sensors

D Miklusis, V Markevicius, D Navikas, M Ambraziunas… - Sensors, 2022 - mdpi.com
Magnetic field sensors installed in the road infrastructure can be used for autonomous traffic
flow parametrization. Although the main goal of such a measuring system is the recognition …