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.
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
DOI
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)},
year={2020},
pages={33-37},
doi={}},
organization={Mosharaka for Research and Studies}
}
