Authors:
Nabil Morri
1
;
Sameh Hadouaj
2
and
Lamjed Ben Said
3
Affiliations:
1
IT Department, Emirates College of Technology, Abu Dhabi, U.A.E., SMART Lab., Institut Supérieur de Gestion de Tunis, Université de Tunis, Tunisia
;
2
Computer Information Systems Department, Higher Colleges of Technology, U.A.E., SMART Lab., Institut Supérieur de Gestion de Tunis, Université de Tunis, Tunisia
;
3
SMART Lab., Institut Supérieur de Gestion de Tunis, Université de Tunis, Tunisia
Keyword(s):
Intelligent Transportation System, Multi-agent System, Optimization, Control Support System, Simulation.
Abstract:
Today’s, an efficient and reliable public transport system becomes essential to assist cities in their wealth creation. However, public transportation systems are highly complex because of the modes involved, the multitude of origins and destinations, and the amount and variety of traffic. They have to cope with dynamic environments where many complex and random phenomena appear and disturb the traffic network. To ensure a good quality service, perturbations caused by these phenomena must be detected and treated within an acceptable time frame via the use of a control system. The control process should rely on many criteria related to the traffic management of public transport: Key Performance Indicators. In this paper, we introduce a Regulation Support System of Public Transport (RSSPT) that detects and regulates the traffic perturbation of multimodal public transportation. The system uses optimization techniques to solve the control problem. We based our regulation support system o
n a multi-agent approach to cope with the distributed nature of the public transportation system. To validate our model, we conducted tests by simulating perturbation scenarios in a real traffic network. A comparison between real data and the obtained results shows an improvement in the quality service.
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