Multi-agent Simulation in Integrated Passenger Transportation System under Uncertain Environment

With the rapid development of transportation technology, public passenger traffic system construction investment is getting more and more expensive. Determining the development trend and make the optimal allocation of transportation investment becomes more and more important to the government. To describe the relationship and development trends of the integrated passenger transportation system under uncertain environment, an uncertain multi-agent model is proposed. Then, uncertain variable simulation technique is introduced to estimate the uncertainties in the model. A simulation program based on swarm platform is developed to implement the proposed model. Finally, a numerical experiment is conducted to illustrate that this technique is effective and can be used in decision support.