Urban traffic flow analysis based on deep learning car detection from CCTV image series

MV Peppa, D Bell, T Komar… - … Archives of the …, 2018 - isprs-archives.copernicus.org
Traffic flow analysis is fundamental for urban planning and management of road traffic
infrastructure. Automatic number plate recognition (ANPR) systems are conventional …

Artificial intelligence for vehicle-to-everything: A survey

W Tong, A Hussain, WX Bo, S Maharjan - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, the advancement in communications, intelligent transportation systems, and
computational systems has opened up new opportunities for intelligent traffic safety, comfort …

When intelligent transportation systems sensing meets edge computing: Vision and challenges

X Zhou, R Ke, H Yang, C Liu - Applied Sciences, 2021 - mdpi.com
The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

Data-driven approaches for road safety: A comprehensive systematic literature review

A Sohail, MA Cheema, ME Ali, AN Toosi, HA Rakha - Safety science, 2023 - Elsevier
Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …

Vehicle-related scene understanding using deep learning

X Liu, M Neuyen, WQ Yan - … , Auckland, New Zealand, November 26, 2019 …, 2020 - Springer
Automated driving is an inevitable trend in future transportation, it is also one of the eminent
achievements in the matter of artificial intelligence. Deep learning produces a significant …

Traffic Congestion Detection from Surveillance Videos using Deep Learning

GB Madhavi, AD Bhavani, YS Reddy… - … Engineering & their …, 2023 - ieeexplore.ieee.org
Countless cameras, both public and private, have been installed in recent years for the
objectives of surveillance, the monitoring of anomalous human activities, and traffic …

A review of artificial intelligence and machine learning for incident detectors in road transport systems

S Olugbade, S Ojo, AL Imoize, J Isabona… - Mathematical and …, 2022 - mdpi.com
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …

Lightweight PVIDNet: A priority vehicles detection network model based on deep learning for intelligent traffic lights

R Carvalho Barbosa, M Shoaib Ayub, R Lopes Rosa… - Sensors, 2020 - mdpi.com
Minimizing human intervention in engines, such as traffic lights, through automatic
applications and sensors has been the focus of many studies. Thus, Deep Learning (DL) …