Simulating Demand-responsive Transportation: A Review of Agent-based Approaches
Simulating Demand-responsive Transportation: A Review of Agent-based Approaches
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DOI：
10.1080/01441647.2015.1017749
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发表时间：
2015-03
影响因子：
9.8
通讯作者：
Nicole Ronald;R. Thompson;S. Winter
中科院分区：
文献类型：
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作者：
Nicole Ronald;R. Thompson;S. Winter
鉴于需要更好地利用现有的交通基础设施，需求响应型交通（DRT）系统在国际上越来越受欢迎。然而，许多系统由于执行、计划和营销不力而失败。在实现之前，能够真实地模拟系统以评估其可行性是很重要的。本文综述了基于agent的仿真技术在DRT研究中的应用。我们发现，现有的模拟主要集中在行程优化上，通常有利于作业者，很少考虑个人偏好和需求。然而，基于代理的模拟允许合并后者，并捕获操作员和客户之间的交互。为了统一未来的研究工作，确定了未来研究的几个领域。
Abstract In light of the need to make better use of existing transport infrastructure, demand-responsive transportation (DRT) systems are gaining traction internationally. However, many systems fail due to poor implementation, planning, and marketing. Being able to realistically simulate a system to evaluate its viability before implementation is important. This review investigates the application of agent-based simulation for studying DRT. We identify that existing simulations are strongly focused on the optimisation of trips, usually in favour of the operator, and rarely consider individual preferences and needs. Agent-based simulations, however, permit incorporation of the latter, as well as capture the interactions between operators and customers. Several areas of future research are identified in order to unify future research efforts.