Machine learning-based traffic prediction models for intelligent transportation systems

A Boukerche, J Wang - Computer Networks, 2020 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …

Mobility trace analysis for intelligent vehicular networks: Methods, models, and applications

C Celes, A Boukerche, AAF Loureiro - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Intelligent vehicular networks emerge as a promising technology to provide efficient data
communication in transportation systems and smart cities. At the same time, the …

An efficient mobility-oriented retrieval protocol for computation offloading in vehicular edge multi-access network

A Boukerche, V Soto - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Computation offloading for vehicular edge computing (VEC) architecture has gained
increasing attention, with the emergence of mobile and vehicular applications with high …

Mobility prediction in vehicular ad-hoc networks: Prediction aims, techniques, use cases, and research challenges

IT Abdel-Halim, HMA Fahmy - IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
The accurate prediction of the vehicle mobility in Vehicular Ad-hoc Networks (VANETs) has
a significant effect in the rapid deployment of Intelligent Transport Systems (ITSs) as well as …

Smart and green mobility management for 5G‐enabled vehicular networks

N Aljeri, A Boukerche - Transactions on Emerging …, 2022 - Wiley Online Library
With the recent demand of sustainable and green smart cities, we are witnessing a growing
research initiative toward the development of efficient energy‐aware 5G/Wifi‐6 wireless …

Skipping-based handover algorithm for video distribution over ultra-dense vanet

A Costa, L Pacheco, D Rosário, L Villas… - Computer Networks, 2020 - Elsevier
Next-generation networks will pave the way for video distribution over vehicular Networks
(VANETs), which will be composed of ultra-dense heterogeneous radio networks by …

A dynamic MAP discovery and selection scheme for predictive hierarchical MIPv6 in vehicular networks

N Aljeri, A Boukerche - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Recent developments and the ubiquitous availability of wireless technologies and inter-
vehicle communication systems are anticipated to lead to the evolution of heterogeneous …

[PDF][PDF] Identification of passenger demand in public transport using machine learning

R Thiagarajan, S Prakashkumar - Webology, 2021 - webology.org
An essential aspect of the transport system is public passenger transport and the Public
Transport (PT) movement prediction is significant issues faced in the transport planning area …

A vehicular traffic congestion predictor system using Mamdani fuzzy inference

M Amini, MF Hatwagner, GC Mikulai… - … THEORY, CONTROL AND …, 2021 - stccj.ucv.ro
The process of traffic control systems significantly relies on the immediate detection of
breakdown states. As a result of their crisp (non-fuzzy) based calculation procedures …

An Initial Alignment Technology of Shearer Inertial Navigation Positioning Based on a Fruit Fly‐Optimized Kalman Filter Algorithm

M Wan, Z Wang, L Si, C Tan… - Computational …, 2020 - Wiley Online Library
The shearer is one of the core equipment of the fully mechanized coal face. The fast and
accurate positioning of the shearer is the prerequisite for its memory cutting, intelligent …