Towards demand-oriented flexible rerouting of public transit under uncertainty
Towards demand-oriented flexible rerouting of public transit under uncertainty
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DOI：
10.1145/3313237.3313302
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发表时间：
2019-04
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影响因子：
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通讯作者：
Saideep Nannapaneni;A. Dubey
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文献类型：
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作者：
Saideep Nannapaneni;A. Dubey
本文提出了一种灵活的公交改道策略，以适应出行需求的时空变化。交通路线通常是静态的，即公共汽车提供明确的路线；这导致居住在远离公交路线的人们选择替代交通方式，如私家车，导致交通拥堵日益严重。在弹性交通模式下，考虑到静态路线的时空变化，我们改变了公交路线，以适应高出行需求区域。我们执行聚类来识别几个伸缩站；这些站点不是静态路线上的站点，而是周围有高出行需求的站点。将静态路线上的公交站点划分为关键站点和非关键站点；关键公交车站指的是换乘点，人们在这里换乘公交到达目的地。在现有的静态调度过程中，在每次行程结束时提供一些空闲时间，以考虑任何旅行延误。因此，由于采取灵活路线而产生的额外旅行时间被限制为小于可用的空闲时间。我们使用出行需求的增长百分比来分析改道过程的有效性。采用纳什维尔大都会交通管理局（MTA）运营的7号公路的真实旅行数据来演示所提出的方法。
This paper proposes a flexible rerouting strategy for the public transit to accommodate the spatio-temporal variation in the travel demand. Transit routes are typically static in nature, i.e., the buses serve well-defined routes; this results in people living in away from the bus routes choose alternate transit modes such as private automotive vehicles resulting in ever-increasing traffic congestion. In the flex-transit mode, we reroute the buses to accommodate high travel demand areas away from the static routes considering its spatio-temporal variation. We perform clustering to identify several flex stops; these are stops not on the static routes, but with high travel demand around them. We divide the bus stops on the static routes into critical and non-critical bus stops; critical bus stops refer to transfer points, where people change bus routes to reach their destinations. In the existing static scheduling process, some slack time is provided at the end of each trip to account for any travel delays. Thus, the additional travel time incurred due to taking flexible routes is constrained to be less than the available slack time. We use the percent increase in travel demand to analyze the effectiveness of the rerouting process. The proposed methodology is demonstrated using real-world travel data for Route 7 operated by the Nashville Metropolitan Transit Authority (MTA).