A Key Performance Optimization Agent-based Approach for Public Transport Regulation

Nabil Morri, Sameh Hadouaj, Lamjed Ben Said

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 on 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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Paper Citation


in Harvard Style

Morri N., Hadouaj S. and Ben Said L. (2020). A Key Performance Optimization Agent-based Approach for Public Transport Regulation.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 252-259. DOI: 10.5220/0009417202520259


in Bibtex Style

@conference{vehits20,
author={Nabil Morri and Sameh Hadouaj and Lamjed Ben Said},
title={A Key Performance Optimization Agent-based Approach for Public Transport Regulation},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={252-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009417202520259},
isbn={978-989-758-419-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - A Key Performance Optimization Agent-based Approach for Public Transport Regulation
SN - 978-989-758-419-0
AU - Morri N.
AU - Hadouaj S.
AU - Ben Said L.
PY - 2020
SP - 252
EP - 259
DO - 10.5220/0009417202520259