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Reliable Path Planning for Bus Networks Considering Travel Time Uncertainty

机译:考虑行程时间不确定性的公交网络可靠路径规划

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Abstract-This paper investigates the problem of finding a priori shortest paths to guarantee a given probability of arriving on-time in a bus network under travel time uncertainty. This problem is especially important to residents who travel with public transportation systems, since their departure/routing choices are less flexible than those of private car drivers. In this paper, we propose a two-step polynomial-time algorithm to solve this problem. In the first step, we find all the valid paths between any an OD pair and store them for this OD pair before customers' query. In the second step, we apply a modified multi-criteria label-setting algorithm to quickly determine the "reliable" shortest paths from the stored paths. The influence of walking transfers and waiting time at bus stops are also considered. To prove that the Path-Storing strategy can be used in practice, we show that the complexity of the planning problem for bus networks is related with the degree distribution of the bus networks and is of polynomial time. The average number of valid paths between any two nodes is sufficiently small to store in advance. To test this tradingspace- for-time strategy, we collect empirical data of Beijing bus network to characterize the uncertainties of bus arrival times and link travel times. Comparisons demonstrate that applying the Path-Storing Strategy significantly reduces path searching time.
机译:摘要-本文研究了在行驶时间不确定的情况下,找到先验最短路径以保证公交网络准时到达的概率的问题。对于乘坐公共交通系统出行的居民来说,这个问题尤其重要,因为他们的出发/路线选择的灵活性不如私家车司机灵活。在本文中,我们提出了一种两步多项式时间算法来解决该问题。第一步,我们找到任何一个OD对之间的所有有效路径,并在客户查询之前为该OD对存储它们。在第二步中,我们应用修改后的多准则标签设置算法来从存储的路径中快速确定“可靠”的最短路径。还考虑了步行换乘和公交车站等待时间的影响。为了证明路径存储策略可以在实践中使用,我们证明了公交网络规划问题的复杂性与公交网络的度分布有关,并且是多项式时间。任何两个节点之间的有效路径的平均数量足够小,可以预先存储。为了测试这种交易时间策略,我们收集了北京公交网络的经验数据,以表征公交车到站时间和链接出行时间的不确定性。比较表明,应用路径存储策略可显着减少路径搜索时间。

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