Multi-agent Modelling for a Regulation Support System of Public Transport

The increasing cost of private transport and the rising pollution of the environment pose serious problems in society, economy and environment. The public transport has become a major challenge of collective and daily life. However, to encourage people to use a public transport system, the offered service have to be with good quality. 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 adjustment is based on actual traffic conditions. It covers the major criteria that have to be optimized in a traffic regulation: punctuality, regularity and correspondence.