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

TL;DR

This paper introduces an enhanced multi-agent simulation incorporating human-like decision-making and interactive spatial behavior to support electric taxi companies in optimizing energy use and reducing CO2 emissions.

Contribution

It presents a novel human-agent interactive spatial behavior model integrated into multi-agent simulation for real-time decision support in electric taxi management.

Findings

Simulation and GUI improve decision accuracy and speed.

Supports energy saving and CO2 reduction strategies.

Reduces decision-making cost and time.

Abstract

We are exploring the enhancement of models of agent behaviour with more "human-like" decision making strategies than are presently available. Our motivation is to developed with a view to as the decision analysis and support for electric taxi company under the mission of energy saving and reduction of CO2, in particular car-pool and car-sharing management policies. In order to achieve the object of decision analysis for user, we provide a human-agents interactive spatial behaviour to support user making decision real time. We adopt passenger average waiting time and electric taxi average idle time as the performance measures and decision support fro electric taxi company. Finally, according to the analysis result, we demonstrate that our multi-agent simulation and GUI can help users or companies quickly make a quality and accurate decision to reduce the decision-making cost and time.