The demonstration operation of electric taxi (ET) provides useful guidance to the development of electric vehicles. However

large-scale ET grid connection will cause significant disturbance to the power grid operation and planning. This paper presents a multi-agent-based real-time simulation system of ET operation on JADE platform to study the optimal management strategy of regional ET operation. The decision-making behavior of ET by means of Q-Learning algorithm is described. The results show that the simulation reflects the dynamic behavior and operation strategy of the ET through the interaction among agents such as ET

charging utility and transportation network

which provides useful references for the planning and operation of electric vehicles. This work is supported by National Natural Science Foundation of China (No. 51377058).