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Update on Friday, 13 August 2021: Dr. Georgios Stylianou achieves 0.28 UCI points.
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  • ElecEng
  • GC-ElecEng 2020
  • 29.Cnf-1145
ElecEng Congresses with Published Papers
GC-ElecEng 2020, Valencia
GC-ElecEng 2021, Valencia
Papers Published at GC-ElecEng 2020
All 9 Papers
IDAuthors and TitlePages
29.Cnf-105 Dr. Alex Vukovic
Ms. Ayat Alrjoub
Furthering Innovation in Hyper Communication Era
29.Cnf-113 Prof. Càndid Reig
Dr. Maria-Dolores Cubells-Beltran
Mr. Javio Sanchis-Muñoz
Prof. Fernando Pardo
Dr. Jose A. Boluda
Dr. Francisco Vegara
Dr. Susana Cardoso
Address Event Representation (AER) approach to resistive sensor arrays

GS Citations

Prof. Cebrail Ciflikli
Mr. Kadir Aba
Implementing low cost and secure data transmission layer for image transmission in wireless sensor network
29.Cnf-221 Mrs. Aicha Mchbal
Dr. Naima Amar Touhami
Dr. El Ftouh Hanae
Dr. Aziz Dkiouak
Four-element UWB MIMO Antenna Design
29.Cnf-313 Dr. Joan Bas
Dr. Alexis Dowhuszko
Linear Time-Packing Detectors for Optical Feeder Link in High Throughput Satellite Systems
29.Cnf-1144 Mrs. Fériel Boulfani
Dr. Xavier Gendre
Prof. Anne Ruiz-Gazen
Mrs. Martina Salvignol
Anomaly detection for aircraft electrical generator using machine learning in a functional data framework
29.Cnf-1145 Mr. Nabil Morri
Dr. Sameh Hadouaj
Mr. Lamjed Ben Said
Towards an Intelligent control system for public transport traffic efficiency KPIs optimization
29.Cnf-1146 Mr. Ismail Moufid
Prof. Hassane El Markhi
Hassan El Moussaoui
Lamhamdi Tijani
Distribution network reconfiguration for power loss minimization using soft open point

GS Citations

Dr. Shaobo Chen
Dr. Hongwei Liu
UWB slot antenna on shielding can for high accuracy positioning application
29.Cnf-1145 Paper View Page
Title Towards an Intelligent control system for public transport traffic efficiency KPIs optimization
Authors Mr. Nabil Morri, Université de Tunis, Tunis, Tunisia
Dr. Sameh Hadouaj, Higher Colleges of Technology, Abu Dhabi, UAE
Mr. Lamjed Ben Said, Université de Tunis, Tunis, Tunisia
Abstract The urban public transport systems deal with a dynamic environment and evolve over time. Frequently, we dispose of a lot of correlated information that is not well exploited to improve the public transport quality service, especially in perturbation cases. The quality service should be measured in terms of public transport key performance indicator (KPI). In fact, in the absence of a set of widely accepted performance measures and transferable methodologies, it is very difficult for public transport to objectively assess the effects of a specific control system. Unfortunately, most existing control systems provide solutions without measuring its quality based on the common framework standard. Therefore, their applicability is restricted only to specific performance indicators. This paper sets the context of performance measurement of public traffic management and presents a multi-agent control system of public transportation. Our aim is to identify the control action by optimizing the performance of the service quality of the public transportation based on the KPIs. The first validations done by simulating real scenarios that happened in Abu Dhabi transport system show the efficiency of the proposed model.
Track Intelligent: Intelligent Systems and Technologies
Conference 1st Mosharaka International Conference on Emerging Applications of Electrical Engineering (MIC-ElectricApps 2020)
Congress 2020 Global Congress on Electrical Engineering (GC-ElecEng 2020), 4-6 September 2020, Valencia, Spain
Pages 33-37
Topics Intelligent Transportation Systems
Transportation Information Technology
ISSN 2227-331X
BibTeX @inproceedings{1145ElecEng2020,
title={Towards an Intelligent control system for public transport traffic efficiency KPIs optimization},
author={Nabil Morri, and Sameh Hadouaj, and Lamjed Ben Said},
booktitle={2020 Global Congress on Electrical Engineering (GC-ElecEng 2020)},
organization={Mosharaka for Research and Studies} }
Paper Views 99 Paper Views Rank 34/524
Paper Downloads 46 Paper Downloads Rank 17/524
GC-ElecEng 2020 Visits: 34333||MIC-ElectricApps 2020 Visits: 23958||Intelligent Track Visits: 4273