Multi-agent optimization model for multi-criteria regulation of multi-modal public transport

The regulation of a traffic public transport is a complex task, especially when we want to find a good regulation on a real time in case of appearance of simultaneous disturbances. Indeed, regulator like decision maker has to carry out difficult tasks that are often inaccessible at the human scale, which involves the assistance of a decision support system. This paper gives effective solutions to improve the quality of public transport service provided to users. In this paper, we present a Regulation Support System of Public Transport (RSSPT), based on Multi-agents approach that allows supervising and regulating a multimodal public transport. Its purpose is to adjust the vehicle schedules where several disturbances come simultaneously. The proposed Regulation Support System is based on actual traffic conditions. It covers the major criteria that have to be optimized in a traffic regulation: punctuality, regularity and correspondence.