Intelligent traffic management system based on the internet of vehicles (IoV)

SA Elsagheer Mohamed… - Journal of advanced …, 2021 - Wiley Online Library
The present era is marked by rapid improvement and advances in technology. One of the
most essential areas that demand improvement is the traffic signal, as it constitutes the core …

Safe driving distance and speed for collision avoidance in connected vehicles

SA Elsagheer Mohamed, KA Alshalfan, MA Al-Hagery… - Sensors, 2022 - mdpi.com
Vehicle tailgating or simply tailgating is a hazardous driving habit. Tailgating occurs when a
vehicle moves very close behind another one while not leaving adequate separation …

Traffic rules violation detection using machine learning techniques

PS Reddy, T Nishwa, RSK Reddy… - 2021 6th …, 2021 - ieeexplore.ieee.org
Due to the growing population and people's need for comfort, more automobiles are being
purchased, particularly in urban areas. This can result in heavy traffic, indicating that traffic …

Intelligent traffic violation detection

R Ravish, S Rangaswamy… - 2021 2nd Global …, 2021 - ieeexplore.ieee.org
ITVD is a technique which uses Artificial Intelligence and deep learning concepts to detect
the vehicle violating the traffic rules. We observe that in the past few years there has been a …

Deep learning based detection of one way traffic rule violation of three wheeler vehicles

HR Mampilayil, K Rahamathullah - … international conference on …, 2019 - ieeexplore.ieee.org
Nowadays the number of vehicles on the road is increasing incrementally. As a result the
number of road accidents is also increasing. The main causes of these accidents are due to …

Combining Software-Defined and Delay-Tolerant Networking Concepts with Deep Reinforcement Learning Technology to Enhance Vehicular Networks

O Nakayima, MI Soliman, K Ueda… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Ensuring reliable data transmission in all Vehicular Ad-hoc Network (VANET) segments is
paramount in modern vehicular communications. Vehicular operations face unpredictable …

A Hierarchical Network-based Method for Predicting Driver Traffic Violations

M Wang, N Li - IEEE Access, 2024 - ieeexplore.ieee.org
Through the cleaning and filtering of real data from driving studies, a traffic violation dataset
was constructed in order to determine the relationship between driver factors and the …

Implementing AI-Driven Traffic Signal Systems for Enhanced Traffic Management in Dammam.

KM Almatar - International Journal of Sustainable …, 2024 - search.ebscohost.com
Overcrowding poses a major challenge for urban cities, as the increasing number of private
and commercial vehicles rapidly leads to congestion and queues at intersections. Similar …

Autonomous Real‐Time Speed‐Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)

SA Elsagheer Mohamed, MT Parvez… - Journal of advanced …, 2021 - Wiley Online Library
Over‐/underspeeding is one of the leading causes of road accidents. Traditional systems of
detecting and reporting speed‐limit violations are not suitable for smart cities. Even the …

Automated traffic light signal violation detection system using convolutional neural network

B Bordia, N Nishanth, S Patel, M Anand Kumar… - … : Proceedings of SoCTA …, 2020 - Springer
Automated traffic light violation detection system relies on the detection of traffic light color
from the video captured with the CCTV camera, detection of the white safety line before the …