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Responsive bus dispatching strategy in a multi-modal and multi-directional transportation system: a doubly dynamical approach

机译:多模式多方向运输系统中的响应式公交车调度策略:双动力学方法

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This paper examines the time-dependent bus dispatching problem in a multi-modal context. Traditional studies along this line often optimize the bus frequency or schedule. However, they may fail as the realized bus frequency or schedule is constrained by the time-varying traffic congestion on the road. Adding more buses to service does not necessarily increase the service frequency. Given this, we look into the time-dependent bus dispatching (number of buses in service on road) when taking into account complex multimodal and multi-directional flow interactions on the road. In particular, the traffic dynamics over clock time is modeled through an aggregate traffic representation with flow interactions between cars and buses, and interactions between traffic in opposite moving directions. Instead of explicitly optimizing the size of dispatched bus fleet, we propose an adaptive fleet size adjustment mechanism where we have a target level of bus loading factor. This adaptive or responsive approach, by taking advantage of the doubly dynamical system proposed in Liu and Geroliminis (2017), adjusts the size of dispatched bus fleet over calendar time and accommodates day-to-day variations of mode choices and traffic patterns. Numerical studies show that the proposed approach can help bus operator to reduce operating cost and improve net benefit while maintaining comparable user costs for passengers. This study offers a new perspective for dynamic bus dispatching strategy and improves our understanding of multi-modal traffic dynamics.
机译:本文研究了多模式情况下与时间有关的公交车调度问题。沿这条线的传统研究通常会优化总线频率或时间表。但是,它们可能会失败,因为实际的公交车频率或时间表会受到道路上随时间变化的交通拥堵的限制。为服务添加更多的总线不一定会增加服务频率。鉴于此,我们在考虑道路上复杂的多模式和多方向流交互时,研究了与时间有关的公共汽车调度(道路上服务的公共汽车数量)。尤其是,通过总流量表示法来模拟整个时钟时间内的流量动态,其中总的流量表示法包括汽车和公共汽车之间的流量交互作用以及相反方向上的流量之间的交互作用。我们没有明确优化已调度公交车队的规模,而是提出了一种自适应车队规模调整机制,该机制具有目标公交车装载因子的水平。这种自适应或响应式方法通过利用Liu和Geroliminis(2017)中提出的双重动力学系统,在日历时间内调整已调度公交车队的规模,并适应模式选择和交通模式的日常变化。数值研究表明,提出的方法可以帮助公交运营商降低运营成本并提高净收益,同时保持乘客可比的用户成本。这项研究为动态公交调度策略提供了新的视角,并增进了我们对多式联运动态的理解。

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