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 …

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 …

Integration of Weigh-in-Motion (WIM) and inductive signature data for truck body classification

SV Hernandez, A Tok, SG Ritchie - Transportation Research Part C …, 2016 - Elsevier
Transportation agencies tasked with forecasting freight movements, creating and evaluating
policy to mitigate transportation impacts on infrastructure and air quality, and furnishing the …

Intelligent cognition of traffic loads on road bridges: From measurement to simulation–A review

J Zheng, J Tang, Z Zhou, J Heng, X Chu, T Wu - Measurement, 2022 - Elsevier
Traffic load is a crucial but complicated factor in determining the in-service performance and
deterioration behavior of bridges. A better understanding of traffic loads in different traffic …

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 …

Vehicle classification using the discrete fourier transform with traffic inductive sensors

JJ Lamas-Seco, PM Castro, A Dapena… - Sensors, 2015 - mdpi.com
Inductive Loop Detectors (ILDs) are the most commonly used sensors in traffic management
systems. This paper shows that some spectral features extracted from the Fourier Transform …

Fusion of weigh-in-motion and global positioning system data to estimate truck weight distributions at traffic count sites

S Hernandez, K Hyun - Journal of Intelligent Transportation …, 2020 - Taylor & Francis
Truck weight data is needed for a wide range of applications including but not limited to
pavement design, weight enforcement, traffic monitoring, and freight transportation planning …

[HTML][HTML] Unlocking insights from commercial vehicle data: A machine learning approach for predicting commercial vehicle classes using Michigan State data (1999 …

F Alhomaidat, M Twaissi - Results in Engineering, 2024 - Elsevier
Commercial vehicles have a significant economic effect by moving goods and services
across national borders and around the globe. They are also responsible for most …

LiDAR vehicle point cloud reconstruction framework for Axle-based classification

Y Li, AYC Tok, Z Sun, SG Ritchie… - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
As light detection and ranging (LiDAR) technology rapidly advances, it is becoming
increasingly viable as a solution to collect vehicle classification data. The main challenge of …