论文标题
Maassim-基于代理的双面移动平台模拟器
MaaSSim -- agent-based two-sided mobility platform simulator
论文作者
论文摘要
Uber和Lyft等双面移动平台广泛出现在城市流动性领域，为全球运输系统带来了破坏性的变化。这需要一个模拟框架，其中来自各个学科的研究人员可能会引入旨在代表平台驱动的城市移动系统动态的模型。在这项工作中，我们介绍了Maassim，这是一种基于代理的模拟器，重现了两种代理商使用的运输系统：（i）旅行者，要求在给定时间从起源到目的地旅行，以及（ii）通过提供乘车来满足旅行需求的驾驶员。中间代理，平台，可以将需求与供应匹配。代理人是决策者，特别是，旅行者可以决定他们使用哪种模式或拒绝传入要约。同样，驾驶员可以选择退出系统或拒绝传入请求。上述所有行为均通过用户定义的模块建模，代表代理的口味变化（异质性），其先前的经验（学习）和可用信息（系统控制）。 Maassim是公共存储库github.com/rafalkucharskipk/maassim的开源库，以及一套教程和可重复的用例场景。
Two-sided mobility platforms, such as Uber and Lyft, widely emerged in the urban mobility landscape, bringing disruptive changes to transportation systems worldwide. This calls for a simulation framework where researchers from various and across disciplines may introduce models aimed at representing the dynamics of platform-driven urban mobility systems. In this work, we present MaaSSim, an agent-based simulator reproducing the transport system used by two kind of agents: (i) travellers, requesting to travel from their origin to destination at a given time, and (ii) drivers supplying their travel needs by offering them rides. An intermediate agent, the platform, allows demand to be matched with supply. Agents are decision makers, specifically, travellers may decide which mode they use or reject an incoming offer. Similarly, drivers may opt-out from the system or reject incoming requests. All of the above behaviours are modelled through user-defined modules, representing agents' taste variations (heterogeneity), their previous experiences (learning) and available information (system control). MaaSSim is an open-source library available at a public repository github.com/RafalKucharskiPK/MaaSSim, along with a set of tutorials and reproducible use-case scenarios.
