基于Agent的机动性政策影响微观仿真研究框架
Integrated Agent-based Microsimulation Framework for Examining Impacts of Mobility-oriented Policies
摘要：
旅行需求管理措施/政策对于维持个人旅行行为的积极变化十分重要。一个综合的基于代理的微观模拟平台提供了一个丰富的框架，检查这种干预措施，以评估其影响，使用指标的需求以及供应方。本文提出了一种方法，其中个人的时间表，来自一个更轻的版本的基于活动的模型，被送入MATSIM仿真框架。模拟进行了两个欧洲城市，即哈瑟尔特（比利时），博洛尼亚（意大利）。校准后的建模框架对总交通计数的基本情况下，一些交通管理政策（限制汽车的访问，增加公交车的频率）的影响进行了研究。结果表明，限制小汽车进入在减少网络交通和将小汽车司机/乘客转移到其他出行方式方面更有效。公交基础设施的改善与频率的增加导致骑自行车的人转向公共交通，如果目标是改善可持续性和环境，这是该政策的不良结果。在未来的研究中，将加强该框架，以整合排放和空气扩散模型，以确定这些干预措施对空气质量的影响。
英文摘要：
Travel demand management measures/policies are important to sustain positive changes among individuals' travel behaviour. An integrated agent-based microsimulation platform provides a rich framework for examining such interventions to assess their impacts using indicators about demand as well as supply side. This paper presents an approach, where individual schedules, derived from a lighter version of an activity-based model, are fed into a MATSIM simulation framework. Simulations are performed for two European cities i.e. Hasselt (Belgium), Bologna (Italy). After calibrating the modelling framework against aggregate traffic counts for the base case, the impacts of a few traffic management policies (restricting car access, increase in bus frequency) are examined. The results indicate that restricting car access is more effective in terms of reducing traffic from the network and also shifting car drivers/passengers to other modes of travel. The enhancement of bus infrastructure in relation to increase in frequency caused shifting of bicyclist towards public transport, which is an undesirable result of the policy if the objective is to improve sustainability and environment. In future research, the framework will be enhanced to integrate emission and air dispersion models to ascertain effects on air quality as a result of such interventions.
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