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 …

Intelligent traffic monitoring systems for vehicle classification: A survey

M Won - IEEE Access, 2020 - ieeexplore.ieee.org
A traffic monitoring system is an integral part of Intelligent Transportation Systems (ITS). It is
one of the critical transportation infrastructures that transportation agencies invest a huge …

Artificial intelligent systems for vehicle classification: A survey

SH Tan, JH Chuah, CO Chow, J Kanesan… - … Applications of Artificial …, 2024 - Elsevier
Digitalization is revolutionizing our way of life and catalyzing the transformation into smart
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …

Multi-dimensional traffic congestion detection based on fusion of visual features and convolutional neural network

X Ke, L Shi, W Guo, D Chen - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
In intelligent transportation systems, there are many tasks that rely on the detection of road
congestion, such as traffic signal scheduling and traffic accident detection. As traditional …

DeepWiTraffic: Low cost WiFi-based traffic monitoring system using deep learning

M Won, S Sahu, KJ Park - … Conference on Mobile Ad Hoc and …, 2019 - ieeexplore.ieee.org
A traffic monitoring system (TMS) is an integral part of Intelligent Transportation Systems
(ITS). It is an essential tool for traffic analysis and planning. One of the biggest challenges is …

[HTML][HTML] Vehicle auto-classification using machine learning algorithms based on seismic fingerprinting

AB Ahmad, H Saibi, AN Belkacem, T Tsuji - Computers, 2022 - mdpi.com
Most vehicle classification systems now use data from images or videos. However, these
approaches violate drivers' privacy and reveal their identities. Due to various disruptions …

TelecomTM: A fine-grained and ubiquitous traffic monitoring system using pre-existing telecommunication fiber-optic cables as sensors

J Liu, S Yuan, Y Dong, B Biondi, HY Noh - Proceedings of the ACM on …, 2023 - dl.acm.org
We introduce the TelecomTM system that uses pre-existing telecommunication fiber-optic
cables as virtual strain sensors to sense vehicle-induced ground vibrations for fine-grained …

Overcoming challenges of distributed fiber-optic sensing for highway traffic monitoring

C Narisetty, T Hino, MF Huang… - Transportation …, 2021 - journals.sagepub.com
This work presents a wide-area highway monitoring system based on distributed fiber-optic
sensing (DFOS) as a cost-effective way of gathering traffic information at numerous sensing …

[HTML][HTML] Traffic monitoring system based on deep learning and seismometer data

AB Ahmad, T Tsuji - Applied Sciences, 2021 - mdpi.com
Currently, vehicle classification in roadway-based techniques depends mainly on
photos/videos collected by an over-roadway camera or on the magnetic characteristics of …

Spatial deep deconvolution u-net for traffic analyses with distributed acoustic sensing

S Yuan, M van Den Ende, J Liu, HY Noh… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Distributed Acoustic Sensing (DAS) that transforms city-wide fiber-optic cables into a large-
scale strain sensing array has shown the potential to revolutionize urban traffic monitoring …