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We are exploring the enhancement of models of agent behaviour with more"human-like" decision making strategies than are presently available. Ourmotivation is to developed with a view to as the decision analysis and supportfor electric taxi company under the mission of energy saving and reduction ofCO2, in particular car-pool and car-sharing management policies. In order toachieve the object of decision analysis for user, we provide a human-agentsinteractive spatial behaviour to support user making decision real time. Weadopt passenger average waiting time and electric taxi average idle time as theperformance measures and decision support fro electric taxi company. Finally,according to the analysis result, we demonstrate that our multi-agentsimulation and GUI can help users or companies quickly make a quality andaccurate decision to reduce the decision-making cost and time.

Enhancing Multi-Agent Based Simulation with Human-Agents Interactive Spatial Behaviour