论文标题
一英里和最后一英里服务的基于代理的车队管理模型
An Agent-Based Fleet Management Model for First- and Last-Mile Services
论文作者
论文摘要
随着汽车和汽车共享应用的增长，许多城市，尤其是发展中国家的通勤者正在离开公共交通工具。这些转变影响了两个关键的利益相关者：公交运营商以及第一英里和最后一英里（FLM）服务。尽管大多数城市继续在公共汽车和地铁项目上投资以使公共交通有吸引力，但这些系统中的乘客量通常未能达到目标水平。在转移到其他运输方式之后，FLM服务提供商还会经历较低的需求和收入。需要有效的FLM选项来防止这种现象并使公共交通对通勤者有吸引力。一种可能的解决方案是在提供竞争性联合出行选择的公共交通和FLM提供商之间建立合作伙伴关系。这样的解决方案需要谨慎分配供应，并为FLM操作和共享乘车提供优化的策略。为此，我们构建了一个基于代理和事件的仿真模型，该模型使用Statecharts，车辆路由模型和其他旅行匹配规则捕获乘客和FLM服务之间的交互。提出了用于在不同过境站分配FLM车辆的优化模型，以减少未经保护的请求。使用了印度班加罗尔的现实地铁运输需求数据，我们的方法在改善FLM连通性和量化共享旅行的好处方面具有有效性。
With the growth of cars and car-sharing applications, commuters in many cities, particularly developing countries, are shifting away from public transport. These shifts have affected two key stakeholders: transit operators and first- and last-mile (FLM) services. Although most cities continue to invest heavily in bus and metro projects to make public transit attractive, ridership in these systems has often failed to reach targeted levels. FLM service providers also experience lower demand and revenues in the wake of shifts to other means of transport. Effective FLM options are required to prevent this phenomenon and make public transport attractive for commuters. One possible solution is to forge partnerships between public transport and FLM providers that offer competitive joint mobility options. Such solutions require prudent allocation of supply and optimised strategies for FLM operations and ride-sharing. To this end, we build an agent- and event-based simulation model which captures interactions between passengers and FLM services using statecharts, vehicle routing models, and other trip matching rules. An optimisation model for allocating FLM vehicles at different transit stations is proposed to reduce unserved requests. Using real-world metro transit demand data from Bengaluru, India, the effectiveness of our approach in improving FLM connectivity and quantifying the benefits of sharing trips is demonstrated.
