基于多智能体的货物运输调度模型

应用MATSim（Multi-Agent Transport Simulation,多智能体运输仿真）技术,研究微观仿真和基于智能体的方法在交通政策分析中的应用.将货物运输车辆整合到MATSim运输仿真软件,建立了一个基于Multi-Agent的货物运输调度模型其中,将物流决策Agent分成运输服务提供商Agent和承运商Agent两类.这种货物运输调度模型,通过多智能体运输仿真迭代运行,得到了将货物从起始地运往目的地的最佳物流决策及行驶路线.应用案例分析,虚构一个货运经营商,为客户提供运输服务,验证了货物运输可以在不同的运输条件和政策措施下进行仿真.

Logistics Transportation Scheduling Model Based on Multi-Agent Technology

This paper studied that micro-simulation and agent-based approaches can successfully be applied in transport policy analysis. Freight vehicles was integrated into the MATSim traffic simulation to create a multi-agent freight transport model in which logistics decisions were separated into two different roles: transport service providers and carriers. Through multi-agent transport simulation iterations, we found the best logistics decisions and vehicles route from origination to destination for freight. As proof of concept, we set up a scenario with a fictitious freight operator serving a set of customers. We demonstrate that freight traffic can be simulated under different traffic conditions and policy measures.